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Record W1997264789 · doi:10.1080/19359705.2011.530570

Separation Anxiety in Feminine Boys: Pathological or Prosocial?

2010· article· en· W1997264789 on OpenAlexaff
Doug P. VanderLaan, Laura M. Gothreau, Nancy H. Bartlett, Paul L. Vasey

Bibliographic record

VenueJournal of Gay & Lesbian Mental Health · 2010
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsMount Saint Vincent UniversityUniversity of Lethbridge
Fundersnot available
KeywordsPsychologyAnxietyPerspective (graphical)FemininityDevelopmental psychologyProsocial behaviorSeparation (statistics)PsychopathologyPathologicalClinical psychologyPsychiatryPsychoanalysisMedicine

Abstract

fetched live from OpenAlex

Previous research has found that boys who exhibit Gender Identity Disorder in Children (GIDC) also commonly exhibit elevated traits of childhood separation anxiety. Here, we review recent cross-cultural, nonclinical research that suggests elevated childhood separation anxiety is simply a component of the more general pattern of femininity exhibited by pre-androphilic males (i.e., biological males who are sexually attracted to adult males in adulthood). Whereas clinical perspectives have tended to characterize the co-occurrence of femininity and elevated childhood separation anxiety as psychopathological, we propose an alternate perspective that views this co-occurrence as having a prosocial basis. Specifically, we argue that elevated childhood separation anxiety is a developmental precursor of cognitive biases that evolved to facilitate increased kin-directed altruism in androphilic males. We also detail findings concerning personality and behavioral characteristics of male androphiles that are consistent with this evolutionarily minded perspective. Possible clinical implications that arise from this evolutionarily minded perspective are also discussed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.064
GPT teacher head0.447
Teacher spread0.383 · 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 designObservational
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

Citations29
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Gay & Lesbian Mental HealthSame topicEvolutionary Psychology and Human BehaviorFrench-language works237,207