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Record W4327969290 · doi:10.1080/23293691.2023.2186812

Transgender Youth’s Perspectives on Factors Influencing Intended and Unintended Pregnancies

2023· article· en· W4327969290 on OpenAlexafffund
A.J. Lowik, Shams M. F. Al-Anzi, Anurada Amarasekera, Ace Chan, Monica Rana, Allison Salter, Ronita Nath, Michele L. Ybarra, Elizabeth Saewyc

Bibliographic record

VenueWomen s Reproductive Health · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentCanadian Institutes of Health Research
KeywordsUnintended pregnancyTransgenderPregnancyPsychologyReproductive healthMental healthUnintended consequencesDevelopmental psychologyTeen pregnancyMedicinePsychiatryPopulationFamily planningPolitical scienceEnvironmental healthResearch methodology

Abstract

fetched live from OpenAlex

Drawing on data from focus groups with 152 trans youth aged 14-18 years in the United States, this article explores the factors that the participants understood as contributing to adolescent pregnancy among trans youth. Youth posited that unintended pregnancies occur due to barriers to contraceptives; a lack of gender-affirming sexual health education; sexual assault and dating violence; and mental health-influenced sexual risk-taking. Participants suggested that intended pregnancies may be a self-development strategy; a self-directed effort to repress/change gender modality or identity; and due to the perceived incompatibility between pregnancy and transition, where pregnancy must occur prior to transitioning.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.083
GPT teacher head0.376
Teacher spread0.293 · 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 designQualitative
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

Citations5
Published2023
Admission routes2
Has abstractyes

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