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Record W7108499355 · doi:10.5281/zenodo.17808698

Power Not Needs: The missing code in understanding mental and emotional health issues.

2025· preprint· W7108499355 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typepreprint
Language
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsInversa Systems (Canada)
Fundersnot available
KeywordsDysfunctional familyPower (physics)ObligationMental healthProperty (philosophy)Software deployment

Abstract

fetched live from OpenAlex

‘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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.001

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.

Opus teacher head0.095
GPT teacher head0.335
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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