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Record W2552401648 · doi:10.4081/mi.2016.6687

Lady with erotic preference for diapers

2016· article· en· W2552401648 on OpenAlexaff
Zack Z. Cernovsky, Y Bureau

Bibliographic record

VenueMental Illness · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyParallelsPreferenceInsecure attachmentSuicidal ideationPostpartum depressionDevelopmental psychologyDepression (economics)Clinical psychologyMedicineAttachment theorySuicide preventionPoison controlPregnancyMedical emergency

Abstract

fetched live from OpenAlex

A patient in her 20s was referred to us for psychological assessment due to her depression and suicide attempts. She mentioned being anorgasmic except when diapered and emphasized her erotic preference for diapers. Her childhood included maternal deprivation in an impecunious family headed by an irritable physically disabled father on social assistance. Given the maternal deprivation in childhood, her erotic fixation on diapers parallels the emotional attachment to diapers observed by Harlow in mother deprived infant monkeys. Etiological hypotheses should also include the paradigm of avoidance learning from theories of behavior therapy. Our patient does not wish to change her sexual preference: in such cases, fetishism is not considered as an illness by DSM5. However, she needs to be treated for pathological levels of depression with suicidal ideation and low self-esteem.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.045
GPT teacher head0.331
Teacher spread0.286 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations2
Published2016
Admission routes1
Has abstractyes

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