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Record W2055129402 · doi:10.1177/1359104506059135

A Parent-report Gender Identity Questionnaire for Children: A Cross-national, Cross-clinic Comparative Analysis

2006· article· en· W2055129402 on OpenAlexaffabout
Peggy T. Cohen‐Kettenis, Madeleine S. C. Wallien, Laurel L. Johnson, Allison Owen-Anderson, Susan J. Bradley, Kenneth J. Zucker

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2006
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsGender Identity DisorderGender dysphoriaGender identityCross-sectional studyPsychologyMedicineClinical psychologyDemographySocial psychology

Abstract

fetched live from OpenAlex

A one-factor, 14-item parent-report Gender Identity Questionnaire for Children (GIQC) was developed in a sample of 325 clinic-referred children with gender identity problems and 504 controls from Toronto, Canada (Johnson et al., 2004). In this study, we report a cross-national, cross-clinic comparative analysis of the GIQC on gender-referred children (N = 338) from Toronto and gender-referred children (N = 175) from Utrecht, The Netherlands. Across clinics, the results showed both similarities and differences. Gender-referred boys from Utrecht had a significantly higher total score (indicating more cross-gender behavior) than did gender-referred boys from Toronto, but there was no significant difference for girls. In the Toronto sample, the gender-referred girls had a significantly higher total score than the gender-referred boys, but there was no significant sex difference in the Utrecht sample. Across both clinics, gender-referred children who met the complete DSM criteria for gender identity disorder (GID) had a significantly higher cross-gender score than the gender-referred children who were subthreshold for GID (Cohen's d = 1.11). The results of this study provide the first empirical evidence of relative similarity in cross-gender behavior in a sample of gender-referred children from western Europe when compared to North American children. The results also provide some support for cross-clinic consistency in clinician-based diagnosis of GID.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.111
GPT teacher head0.547
Teacher spread0.436 · 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 teacher head, not a consensus.

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

Citations71
Published2006
Admission routes2
Has abstractyes

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