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Record W2001021744 · doi:10.1159/000283756

Verbal Characteristics of Male and Female Transsexuals

2010· article· en· W2001021744 on OpenAlex
J. C. Kenna, John M. Hoenig

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychiatria Clinica · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPsychologyMale to femaleVocabularyDevelopmental psychologyFemale to maleGender identitySex ratioTest (biology)MedicineSocial psychologyLinguisticsPopulation

Abstract

fetched live from OpenAlex

Slater's Selective Vocabulary Test was given to a group of 56 male and a group of 14 female transsexuals and the results were compared with those of 15-year-old boys and girls, and a group of normal male adults. It was found that whereas normal males and females have a ratio of gender appropriate words to cross gender words of approximately 2 to 1, in both male and female transsexuals that ratio is more like 1 to 1. The way in which this abnormal vocabulary acquisition may come about is briefly discussed. The factors related to this abnormal learning are not known.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.393
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.038
GPT teacher head0.382
Teacher spread0.344 · 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