Bibliographic record
Abstract
The PsychoEducation Tensor (PET)® is a 4x4 diamond-shaped skew-hermitian tensor transformational matrix describing 16 elementary brain processes. The PET divides into a 7-element metacognitive component called EM-Path, represented by colours and letters, and a 9-element cognitive component called EM-Core, represented by numbers. The PET® describes a set of Vygotskian-like elementary mental processes that constitute an integrated model of cognitive architecture. The elements are organized according to the scientific literature on mind wandering and spontaneous cognitions. The PET® was designed as a psychoeducational tool to help reduce psychological distress and mental perplexity. The PET® further integrates with dual complementary classical and quantum models of physics. Moreover, the PET® interfaces with dual physical stimuli environments and socially constructed propositional narratives. The PET® may also serve as a Minimalist program for cognitive architecture. EM-Theory claims that dual conceptual and knowledge consciousnesses are chiral and complementary (Lahav & Neemeh).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".