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Record W2072561266 · doi:10.1080/00223890903228463

Cross-National Replication of the Gender Identity Interview for Children

2009· article· en· W2072561266 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Personality Assessment · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychologyIdentity (music)ConfusionGender identityDevelopmental psychologyGender Identity DisorderPsychometricsConfirmatory factor analysisClinical psychologyTest validitySocial psychologyStructural equation modeling

Abstract

fetched live from OpenAlex

We administered the Gender Identity Interview for Children, a 12-item child-informant measure, to children referred clinically for gender identity problems in Toronto, Ontario, Canada (N = 329) and Amsterdam, The Netherlands (N = 228) and 173 control children. Confirmatory factor analysis identified a Cognitive Gender Confusion factor (4 items) and an Affective Gender Confusion factor (8 items). Patients from both clinics had a significantly higher deviant total score than the controls, and the Dutch patients had a significantly higher deviant score than the Toronto patients. In this cross-national study, we are the first to report on the validity of this measure to discriminate children with gender identity disorder from controls outside of North America.

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)0.004
metaresearch head score (Gemma)0.000
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 score0.202
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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)0.0000.000

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 head0.123
GPT teacher head0.468
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