The Language of Essence and Inference in Mental Health: Natural Law-Legal Positivism-Cognitive Dissonance
Bibliographic record
Abstract
K-12 Teachers are experiencing more stress than ever before, and the problem isn't expected to be going away anytime soon. In this article, I want to show how it is possible to re-stimulate damaged neural pathways using insights drawn from a newly developed cognitive model, and, to show anecdotal evidence from an ongoing longitudinal qualitative study that began in 2010. The original study was started to seek support and to validate the hypothesis that; cognition is equal to an emotional response to absurd notions, thoughts, idea, etc., and that; where the individual (mind) achieves resolve, the physical brain would rest, and the body would enter relaxation phase or the; "relaxation response" [1], equal to post fight or flight, thus allowing toxins to freely flush from the body through the urine as vital organs would become unstressed, and that resolve may be inherently human. It is in the study of Dementia and Alzheimer's disease which shows us that Neural pathways in the brain can become damaged, and/or lay dormant, and it is in this research and study that we believe that we have discovered a novel approach to assist in the problem of K-12 Teacher stress and mental health, by re stimulating dormant neural pathways which inherently make it possible to exist within this modern day environment without succumbing to the adverse effects of stress 2.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".