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Where It All Began

A career built in the field of technology, yet always accompanied by the feeling that I could contribute more directly to people’s health. It was only in 2016 that I began to see an opportunity to use all the technological knowledge I had acquired in support of human mental health. This calling became stronger and more tangible through people close to me: an honorary uncle who lived with schizophrenia for ten years, a mother who experienced depression in 1990, and a friend who took his own life, in addition to my own childhood difficulties with sustaining attention and completing simple tasks, I noticed that, when faced with more complex questions that sparked my interest, I was able to carry out the activities with a high level of concentration, ease, and precision. In each case, the overwhelming feeling was the same: helplessness. Not a lack of care, but a lack of tools.

Origins: From Veterinary Records to Human Psychometrics

The multidimensional thinking behind GoDataX Human 7 did not start with people. In 2012 I built a first version of a Data Warehouse using multidimensional modeling techniques to store the evolution of animal care, veterinary visits and treatments, star-schema fact and dimension tables designed so a veterinarian could follow a patient’s history and track how a disease and its treatment evolved over time, rather than reading it back from a flat, one-off medical record.

That same modeling discipline was later pointed at people. In 2018 I created the first relational database designed to receive psychometric data tied to psychological studies of individuals and groups, able to store measurement instruments, behavioral measurement scales, and the results of statistical analyses. That schema, evolved over the years, is the direct ancestor of the GDX_PSY_* relational model used throughout this article.

Having the database was not the same as knowing how to use it. After building it, I did not yet know how to convert behavior into numbers, so I started searching for answers in psychology and philosophy faculties. That search led to an invitation from Professor Marcos Aguiar to participate in a master’s research group, the beginning of the collaboration that would later a book produced through the collaborative work of 33 researchers focused on military and public security contexts.

What Is Psychometrics?

Psychometrics is the scientific discipline of measuring psychological attributes such as cognitive abilities, personality traits, and behaviors. By transforming abstract psychological concepts into quantifiable data, psychometrics enables objective evaluations and comparisons. Rooted in psychology and statistics, psychometric assessments are used to understand human behavior, predict performance, and support decision-making in various fields, including mental health.

The Measurement Instrument: A Research Book, 33 Authors

The GoDataX Human 7 Instrument

Use Case: Military Academy Study (2019)

The dataset that anchors GoDataX Human 7’s psychometric layer comes from (intended solely for initial scientific validation) the study “Predictors of Adaptability to Military Higher Education” (Military Academy), administered to cadets and officer cadets. It carries 423 respondents (one row per person, IDs 784–1645, no duplicates) and 159 variables: one identifier, 137 raw questionnaire items, one nominal context variable (curricular year), and 20 pre-computed dimension scores. Every variable is numeric, computed scores carry decimal places (item means), while raw items are integers on a 1–5 scale (or 0–4 for the positivity scale). It is important to note that we may conduct further studies and psychometric analyses later, the data from the book and the military study were used solely for the validation and confirmatory analysis of the KPI extracted.

Some Instruments identified in the dataset

Six validated, multi-item psychometric scales were identified in the raw data with high confidence, their names, items and response anchors matching the study’s own summary table:

Three further single-item indicators were identified with lower confidence, they are not individually named as separate columns in the .sav, and are recorded directly as one computed column each rather than as a raw-item → dimension roll-up:

Every raw item, response anchor and computed dimension was mapped into a relational model (the GDX_PSY_* schema), instrument, construct, dimension, item, and response, each as its own table, so that the same battery can be re-scored, re-analyzed, and extended without re-deriving the study from scratch. The load itself runs as a pipeline: SPSS psychometric analysis → load relational database, packaged as the GDX_SKILL_LOAD_RLT_MODEL_DB skill.

Structural mapping to the GDX_PSY_* schema

Confirmatory & Exploratory Factor Analysis on the Career Adapt-Abilities Scale

The Career Adapt-Abilities Scale (Concern, Control, Curiosity, Confidence, 28 items, n = 423) received the deepest statistical treatment so far: a Confirmatory Factor Analysis (CFA) testing the theorized 4-factor structure, followed by an Exploratory Factor Analysis (EFA) as an independent check, and a Pearson correlation pass between the four manifest dimension scores.

RMR and RMSEA land in the acceptable range; CFI, GFI and AGFI fall just below the conventional 0.90 cutoff. Read together, the 4-factor structure is directionally supported by the data, every loading is positive and significant, without being an excellent fit by the strictest textbook standard. Cronbach’s α is comfortably above 0.80 throughout: Concern 0.82 · Control 0.80 · Curiosity 0.83 · Confidence 0.87 · full scale (28 items) 0.93.

A KMO of 0.934 is about as strong a sampling-adequacy result as this kind of survey data produces, the item set is very well suited to factor analysis. Rotated loadings came out moderate (|0.25–0.51|), weaker than the CFA’s standardized loadings (0.45–0.77); that is expected rather than a defect, since Varimax forces the four factors to be uncorrelated while the CFA already found them meaningfully correlated. That correlation shows up directly in the Pearson pass between the four dimension scores, all significant at p < 0.001:

Every one of these 154 statistics (fit indices, loadings, means, standard deviations, correlations) is stored as its own row in GDX_PSY_PSYCHOMETRIC_PROPERTY, not buried in a spreadsheet:

All of the above was re-run end to end through the GoDataX framework itself, not read off SPSS by hand, both analyses in Python:

The exported figures were checked against SPSS’s own output before being loaded to Firebird, so the numbers above are reproducible from the raw .sav without SPSS in the loop.

This closes out the UFRJ master’s research on the measurement-instruments book in the military context. The Section 1 calculations were re-run by the Human 7 project, producing small, insignificant divergences in the numeric results due to the use of different libraries and minor variations in fractional scales; this re-run was meant to validate the new database, the project’s new structure, and the other implemented components. From Section 2 onward, everything is a new perspective built by the GoDataX Human 7 project.

GoDataX Human 7 incorporates the cardiac-coherence perspective to add a physiological dimension to the instrument’s psychometric analyses. Using indicators such as heart rate, RR intervals, heart-rate variability (HRV), and related metrics, it becomes possible to observe physiological responses tied to different states of activation, regulation, and recovery.

This data is not meant to replace, independently validate, or clinically confirm the psychological results, but to act as a complementary layer of physiological evidence, allowing subjective and objective indicators to be compared. This multidimensional integration helps make GoDataX Human 7 more robust, widening the capacity to analyze the relationships between psychological dimensions and physiological responses, while always preserving the distinction between scientific measurement, interpretation of results, and professional evaluation.

The equipment measures a set of signals and indices directly, before any derived calculation:

Its software then derives the heart-rate-variability indices that actually indicate physiological state:

Priority order for analysis

Not every signal carries equal analytical weight, the project ranks them by how directly each one feeds a reliable HRV read:

Relation with the states

Reading RMSSD, BPM, respiration and movement together lets a capture window be read against a set of probable physiological states:

Physiological state = RMSSD + BPM + RR + movement + respiration + quality

The Cardiac Coherence relational model

Every capture session is loaded into its own relational schema (GDX_CC_*): a session anchors the device, the person, and the raw ECG samples, RR intervals and motion data it produced, which are then reduced into HRV windows for analysis, the same discipline applied to the psychometric side of the project.

Put together, RMSSD, BPM, RR, movement, respiration and signal quality, these form a physiological state, but not yet a psychological one: to measure worry or anxiety as a construct, this stream still has to be combined with self-report or a validated scale. That is exactly the bridge GoDataX Human 7 is built to make.

Multidimensional sensor roadmap

The following shows the perspectives already implemented in GoDataX Human 7, as well as the sensors that may be integrated into the instrument in the future. Progressively incorporating these different data sources aims to broaden the multidimensional analysis capability, enabling psychological, physiological, and behavioral indicators to be cross-referenced.

This evolution seeks to increase the robustness, precision, and consistency of the analyses performed, by combining multiple pieces of evidence and comparing different indicators, contributing to increasingly complete and well-founded assessments.

Thomas Aquinas’s Five Ways were incorporated into GoDataX Human 7 as an interpretive layer of a metaphysical nature, meant to broaden the observation of psychological and physiological results beyond their strictly measurable dimension. The five ways considered are: the 1st Way, Motion or First Mover; the 2nd Way, Efficient Cause; the 3rd Way, Contingency and Necessity; the 4th Way, Degrees of Perfection; and the 5th Way, Order, Governance, or Finality.

Using these perspectives is not meant to scientifically validate metaphysical propositions or turn psychological or physiological indicators into evidence of a spiritual nature. Their role is to offer a complementary interpretive framework, allowing the data to be observed through questions related to motion, causes, dependencies, transformations, the different degrees identified, and the possible order or finality present in the phenomena analyzed. In this way, the Five Ways function in the project as a philosophical and metaphysical framework for observation, linked to the psychological and physiological analyses, while always preserving the distinction between scientific evidence, philosophical interpretation, and metaphysical hypothesis.

Each row also stores, in full, the premise, the metaphysical principle invoked, the step-by-step reasoning, and the exact conclusion wording, plus a SOURCE_REFERENCE pointing back to Summa Theologica I, Q.2, Art.3.

The Septenary Constitution, not the chakra system, was chosen as the philosophical counterpart to the Five Ways, for one structural reason: the Five Ways are pure philosophical argumentation, act and potency, efficient causation, contingency and necessity, degrees of being, final causality, a Western model of levels of reasoning, which the septenary ladder mirrors step for step. Read top to bottom, the resulting mapping traces an ascending line, Lower Mental → Lower Mental → Higher Mental → Higher Mental → Buddhic, which reproduces a well-documented observation about the Five Ways themselves: they run in increasing order of abstraction, from reasoning about sensible motion (way 1) to recognizing intelligent purpose (way 5). None of the five ways is assigned to the Atmic/Spirit level, all five converge on the same conclusion (“this all men speak of as God”), which corresponds to level 7 as their shared destination, not as a property of any single way’s reasoning process. This is a conceptual, qualitative reading, not a historical claim about what Aquinas intended, the septenary constitution postdates him by roughly six centuries and belongs to a different intellectual tradition (19th-century Theosophy) entirely.

Why the Septenary Constitution, not the Chakras

Both the Septenary Constitution and the Kundalini chakras already had a GDX_PSY_*-linked catalog table in the project, so either was a structurally valid target for a second relation table. The Septenary Constitution won for one reason: the Five Ways are pure philosophical/metaphysical argumentation, a Western model of levels of being and reasoning, and the Septenary Constitution is exactly that kind of model too (physical → vital → astral → lower mental → higher mental → buddhic → atmic), which gives a natural, non-forced correspondence. The chakra system, by contrast, is primarily a model of embodied/energetic centers (yogic physiology), it has no natural counterpart for a step-by-step syllogistic proof: only two of the seven chakras (Ajna/intuition, Sahasrara/union with the transcendent) would have anything to map to, and the three cosmological ways (motion, efficient cause, contingency) would have no defensible chakra at all. Forcing that mapping would have been considerably weaker than the one below.

Relation table: Five Ways × Septenary Level

Why level 7 (Atmic Body/Spirit) has no row: all five ways converge on the same conclusion, “this all men speak of as God”, which corresponds to level 7 as the shared destination of the whole Quinque Viae, not as a property of any single way’s reasoning process. Assigning level 7 to any (or all) of the five rows would have been trivially true for every way and would have made the relation uninformative, the interesting structural claim is about the ways’ differing methods, not their common object. If a future need arises to record that shared convergence explicitly, the natural place is a note on GDX_TA_WAY itself (e.g. a SHARED_CONCLUSION_LEVEL reference), not a sixth row in this relation table.

Methodological caveats

The Five Ways relational model

The Five Ways layer follows the same pattern as the Septenary Constitution: a fixed catalog of the five ways (GDX_TA_WAY) linked to GDX_PSY_SEPTENARY_LEVEL through a dedicated mapping table, so the philosophical layer stays cross-referenced to the psychometric schema without touching it directly.

The septenary constitution is a metaphysical model of the levels of being and consciousness (Nova Acrópole, 2023), physical, vital/etheric, astral, lower mental, higher mental, buddhic and atmic/spirit. Each of the study’s psychometric dimensions was read against this ladder, not as a scientific claim but as an interpretative bridge:

Reading the instruments through that ladder: Vigor (Engagement) maps to the Vital/Etheric level almost by definition, it is literally energy applied to an activity. Satisfaction With Life and Job Satisfaction sit at the Astral level, affective judgments about desire satisfied or unsatisfied. Control (Hardiness and CAAS) and Perceived Control of Life land on the Lower Mental level, concrete, practical agency. Commitment (Hardiness), Dedication (Engagement) and Confidence/Curiosity (CAAS) climb to the Higher Mental level, identity-level, abstract judgment about the future. Absorption (Engagement, the flow state), Challenge (Hardiness) and Concern (CAAS) reach the Buddhic level, meaning-making rather than task execution. A handful of context blocks (organizational anomie, perceived bureaucracy, curricular year) were deliberately left out of the table: they describe the environment around the person, not a level of the person’s own consciousness.

Relation table: SPSS instruments/dimensions × level of consciousness

The full correspondence, instrument by instrument, dimension by dimension, with the justification behind each row, including the Physical and Atmic/Spirit levels left out of the summary above:

Not mapped to the 7 levels

These blocks describe the environment or organization around the person, not a principle of the individual’s own constitution, they are left out of the table above because they are not a “body” or “level of consciousness” of the person, but external pressure on them:

The Septenary Constitution relational model

The septenary layer is loaded into its own catalog and mapping tables (GDX_PSY_SEPTENARY_*): a fixed catalog of the seven levels, linked to GDX_PSY_INSTRUMENT and its constructs through a dedicated mapping table, so that any instrument’s dimensions can be cross-referenced against the septenary ladder without touching the core psychometric schema.

Chakras are read here as energetic-bodily centers, not as metaphysical categories of reasoning, a complementary, parallel lens onto the same seven levels:

The Kundalini Chakras relational model

The chakra layer mirrors the Five Ways layer structurally: a fixed catalog of the seven chakras (GDX_PSY_CHAKRA) linked directly to GDX_PSY_SEPTENARY_LEVEL, so the energetic lens stays cross-referenced to the same septenary ladder without a separate parallel schema.

All of the below, psychometric scores, cardiac-coherence windows, septenary levels, chakras, and the Five Ways, converge into a unified Data Warehouse designed as a multidimensional analytical environment. Rather than simply storing data, the GoDataX Human 7 Data Warehouse integrates, structures, and relates heterogeneous sources across psychological, physiological, metaphysical, and energetic dimensions, enabling historical analysis, cross-dimensional correlations, pattern discovery, and deeper interpretation of human states. This architecture provides a consistent analytical foundation in which measurable scientific indicators remain distinguishable from philosophical and energetic interpretative models, while still allowing them to be explored together within the same metaphysical framework.

The knowledge graph opens the door to two graph-native machine-learning passes over the same 55 nodes / 70 edges, scoped below with the Data Science Workflow Canvas (GDX_STRATEGIC_DISCOVERY).

Both canvases: GDX_HUMAN/10_gdx_machine_learning, see Septenary_Link_Prediction_and_Community_Detection.md for full detail.

Logical Architecture

End to end, the pipeline runs: SPSS psychometric analysis → load into the relational database → project into the knowledge graph → cross-reference with cardiac coherence, the septenary constitution, the Five Ways, and the Kundalini chakras → surface through an LLM chatbot.

A complementary line of work (Eduardo Casarotto, Instituto Virtudes) reframes “virtue” away from morality and recasts it as a trainable neural-circuit configuration, built through repetition until it runs without effort or vigilance. Two neurofunctional systems anchor the model: a Pride System (reward circuit plus self-referential thinking, driving power-seeking, vanity, approval-seeking and, paradoxically, timidity) and a Selfishness System (a prefrontal cost-benefit calculus whose temporoparietal-junction “brake” fails to engage, driving aggression, addiction, indifference, corruption). Against a complete, ordered, dependency-based list of 33 virtues, with Humildade (Humility, #1) explicitly foundational, since “without it none of the others can be sustained”, the model is framed as complementary to medical treatment for organic conditions, and, for non-organic distress, potentially more durable than treating the symptom alone. It extends rather than replaces established psychology: Freud and Anna Freud’s defense mechanisms, Maslow’s account of why people get stuck at a level, and Frankl’s logotherapy. The GoDataX Human 7 suggests associations between the 33 virtues and the dimensions corresponding to the behavioral scales that received the lowest scores in the study.

Applied to this study’s own data, the eight lowest-scoring psychometric indicators were matched to a suggested virtue from the 33:

Closing Thought

The initial documentary (Watch the 2-minute trailer) InnSæi asked a fundamental question: How does intuition connect our inner world with reason? It presented creativity, empathy, and nature as expressions of intuition that complement analytical thinking in decision-making.

Building on this idea, the study above proposes a more structured bridge between inner experience and reason by integrating psychometric measures, physiological indicators, cardiac coherence, and interpretative models of consciousness, metaphysics, and energy.

The goal is not to replace reason with intuition, but to understand how both can interact within a metaphysical multidimensional framework, allowing subjective experience and measurable indicators to be explored together while preserving the distinction between scientific evidence and philosophical interpretation.

Thomas Aquinas's Metaphysical Dimensions, in search of greater accuracy (roadmap, not yet implemented)

Each of the Five Ways can be decomposed into a set of more elementary metaphysical dimensions, the Thomistic concepts that underpin the argument itself (potency and act, cause and effect, contingency and necessity, essence and existence, degrees of perfection, order and finality). The goal is for these dimensions, not just the way as a whole, to eventually be associated with the psychological and physiological indicators already measured, gaining more interpretive precision.

Metaphysical Macro-Variables, 7 macro-axes (roadmap)

For a more compact interpretive architecture, the dimensions above could be grouped into seven macro-axes. Each axis synthesizes a set of concepts without turning the metaphysical content into an empirical measure.

Five Ways × Metaphysical Macro-Variables (roadmap)

How this would connect to the relational model (roadmap)

Both the Metaphysical Dimensions catalog and the Metaphysical Macro-Variables catalog would be new tables linked to the existing GDX_TA_WAY_SEP_MAP mapping between the Five Ways and the Septenary Constitution, the same relational pattern used today for the Kundalini Chakras (GDX_PSY_CHAKRA), without altering the core psychometric schema.

Psychometric Behaviors × Metaphysical Dimensions, full relation table (roadmap)

The table below anticipates, variable by variable, how each already-measured psychometric behavior could relate to the metaphysical macro-variables and specific dimensions, and which way, or ways, that reading is closest to:

* In “Positive Emotions,” goodness is used in the sense of a perceived good / realization of a good, not as a moral virtue. The septenary association respects the mapping shown: Vital/Etheric for part of the positive emotions and Astral for EmocPos/EmocNeg.

Trivium and Quadrivium, the Educational Bias

Thomas Aquinas, Dante Alighieri, Nicolaus Copernicus, Galileo Galilei, and Isaac Newton were educated within an intellectual tradition influenced by the Trivium and the Quadrivium. Before teaching a profession, this tradition sought to shape the mind and teach people how to think. The first stage was the Trivium, composed of three fundamental skills: grammar, to understand ideas clearly; logic, to distinguish sound arguments from fallacies; and rhetoric, to communicate thought clearly and persuasively. This was followed by the Quadrivium: arithmetic, devoted to the principles of numbers; geometry, to order in space; music, to the study of proportion, rhythm, and harmony; and astronomy, to understanding the order of the heavens and the movements of the universe. This liberal arts tradition influenced the education of great thinkers such as Thomas Aquinas, one of the leading philosophers of the Middle Ages; Dante Alighieri, author of The Divine Comedy; Nicolaus Copernicus, who transformed our understanding of the cosmos; Galileo Galilei, one of the key figures in the development of modern science; and Isaac Newton, one of history’s greatest mathematicians and physicists, whose university education still strongly reflected this intellectual tradition. Knowledge without thought is merely information.

Applied to the nine contributor roles behind GoDataX Human 7, from software engineering to philosophy, the same seven-arts lens produces the following contribution matrix:

Open Source for Science, Universities, and Schools (coming soon)

The project will be released free of charge as open source to support scientific communities, universities, colleges, and schools in research, teaching, and outreach in psychometrics, data science, and multidisciplinary knowledge integration. Available free on GitHub: github.com/wilsonfda/godatax.human7.

Dimensions, Sensors, and Experimental Applications

Twenty-one dimensions of environmental, energetic, and potentially anomalous phenomena were organized into five categories, electrical/magnetic/electromagnetic, acoustics and vibration, optical/thermal/photonic, environmental and physico-chemical, and integration and control, each associated with a recommended sensor or piece of equipment and a concrete experimental application.

From Sensing to Insight, a detailed example of integrated analysis

An end-to-end example with multisensor synchronization, from collection to meaning, in three stages:

The Relational Database Model

A detailed, traceable relational structure organizes registration and configuration (locations, sensor_types, sensors, environment_conditions), acquisition and events (sessions, events), observations and media (media_files, event_tags, observations), analysis and interpretation (analysis_results, interpretations), and support and reference data (sensor_calibration, users, reference_data).

Sensor Integration Architecture

A Raspberry Pi 5 acts as the acquisition gateway (collection, pre-processing, and data synchronization via I²C, SPI, and UART) for the environmental, luminosity, vibration/motion, audio, electric/electrostatic field, and magnetic field sensors, while radiation and air ionization connect directly to it. A Mini PC receives, via USB and Ethernet, the heavy processing load from the scientific instruments (RF/SDR, thermal imaging, photonics, and optional human sensors such as an ECG/HRV sensor and the Vernier respiration belt), handling advanced processing, AI, analysis, and visualization.

Sensors → Raspberry Pi 5 / Mini PC → Database → Temporal Correlation → Anomaly Detection → Interpretive Layer

Data connects the present to a better future. Explore · Measure · Understand · Transform.

About the Author

Beyond the Labyrinth: From Measure to Consciousness, the Awakening of a New Science. — GoDataXh7.com