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Record W3197714345 · doi:10.36315/2021pad20

IMPROVING THE ASSESSMENT OF CHILDREN AND YOUTH WHO PRESENT WITH GENDER DYSPHORIA: An investigation into patient and parent satisfaction

2020· book-chapter· en· W3197714345 on OpenAlexaff
Kathleen Walsh, Melissa R. Jonnson, Wallace Wong, Veronique Nguy

Bibliographic record

VenueAdvances in psychology and psychological trends · 2020
Typebook-chapter
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsTransgenderGender dysphoriaThematic analysisPsychologyTranssexualHealth careExploratory researchClinical psychologyMedical educationMedicineFamily medicineQualitative researchPolitical science

Abstract

fetched live from OpenAlex

Practitioners working with gender non-conforming children and youth ascribe to general guidelines based on the World Professional Association for Transgender Health Standards of Care for the Health of Transsexual, Transgender, and Gender Nonconforming People (2012). These guidelines inform clinical practice and assessment and emphasize the need for gender affirming care, but they do not include strict treatment criteria. Consequently, there are multiple perspectives and approaches in the field regarding effective assessment and treatment of gender diverse and transgender clients. Given the ongoing debate around best practices, the current exploratory research study investigates the perspectives and satisfaction of transgender youth and their parents actively seeking out gender health assessments (e.g., hormone readiness assessments). Twenty-five parents and 22 youth who were accessing gender health services through a community outpatient clinic completed a questionnaire about the gender health assessment process. Survey data was analyzed using descriptive statistics, and portions analyzed using thematic analysis. Similar responsepatterns were found between groups and themes emerged surrounding the need for an individualized approach to care. This study aims to increase clinical understanding of the experiences of those seeking gender health assessment services to inform and improve practices to better serve this community.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.061
GPT teacher head0.397
Teacher spread0.336 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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