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Record W2598708406 · doi:10.6092/2282-1619/2016.4.1289

Gender Dysphoria in Childhood and Adolescence in Italy. Preliminary Data of a Mapping Study.

2016· article· en· W2598708406 on OpenAlexaboutno aff
Guido Giovanardi

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGender dysphoriaDevelopmental psychologyPsychologyDysphoriaLate childhoodGender identitySocial psychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Gender dysphoria (GD) in childhood and adolescence is a complex phenomenon characterized by clinically significant distress due to the incongruence between assigned gender at birth and experienced gender. Gender identity issues among children and adolescents can be highly variable and, in recent years, consensus about the best clinical practice is currently under debate. In several countries (e.g. the Netherlands, Canada, UK, USA) the number of children and adolescents who are referred to gender identity clinics is high and increasing. In Italy, so far, young referrals are scarce. The aim of this research is to understand the reasons of this discrepancy. Carrying out the first mapping of GD in childhood (2-11 years) and adolescence (12-19 years) in Italy, the research group developed an online questionnaire for psychologists, psychotherapists, paediatricians and child psychiatrists. The questionnaire explores clinicians’ knowledge and interest on gender dysphoria, the number of encountered cases and, for each case, the display of GD behaviours. Preliminary findings (from the first three months, answers collected only among psychologists and psychotherapists) showed a numerous rate of answers that made possible the collection of diverse profiles for Italian GD children and adolescents. Moreover, little knowledge about gender dysphoria (along with a clinical interest and need for more information on that topic) was found among psychologists and psychotherapists. Lastly, the questionnaire explored how clinicians have dealt with each case in terms of taking the patient in care or referring him or her to other health professionals or to gender clinics. As expected, referrals to gender clinics resulted very low.

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)0.001
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 score0.205
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.166
GPT teacher head0.383
Teacher spread0.217 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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