Power Not Needs: The missing code in understanding mental and emotional health issues.
Bibliographic record
Abstract
‘Power Not Needs Theory’ (PNN), proposes that dysfunctional behaviour in children and adults is procedural memory of power acquisition strategies formed when parental care is offered conditionally. The conditions we call ‘Contracts’ and the strategies, ‘Weapons’. Childhood ‘misbehaviour’ is considered Weapon deployment rather than the seeking of comfort, love and safety. Contracts will contain one of four types of parental obligation and the child’s obligation(s) will be one or more of the, approximately, one hundred different types. Deprived of autonomy, authenticity and self-esteem the child fills the power vacuum with the only available sources of power which are five innate abilities that they weaponise. The Weapons predict exclusive sets of behaviours and concomitant mental, emotional and physical disorders. PNN proposes that the pathology is not the individuals dysfunctional behaviour but the Contracts, and that both Contracts and Weapons can be transformed via retroactive interference using a single initiatory experience, not years of therapy.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.026 |
| Scholarly communication | 0.004 | 0.013 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".