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Record W4396767956 · doi:10.1097/og9.0000000000000003

A Gender-Affirming Approach to Contraceptive Care for Transgender and Gender-Diverse Patients

2024· article· en· W4396767956 on OpenAlexaff
Dustin Costescu, Carys Massarella, William J. Powers, Sukhbir S. Singh

Bibliographic record

VenueO&G Open · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsHamilton General Hospital
FundersBayer
KeywordsTransgenderTransgender womenTransgender PersonTransgender peopleGender studiesPsychologyMedicineSociologyFamily medicineHuman immunodeficiency virus (HIV)Men who have sex with men

Abstract

fetched live from OpenAlex

Transgender and gender-diverse (TGD) reproductive health care is a field with an abundance of misinformation and a paucity of quality literature available for both health care professionals and their patients. Clinicians often receive limited education and training in this area, and TGD individuals face many barriers to reproductive health care, including the lack of gender-affirming, inclusive, and knowledgeable clinicians as well as concerns about gender biases. As such, TGD individuals often feel uncomfortable discussing their reproductive health with their health care professionals and are deterred from seeking the appropriate care they need. Contraceptive counseling is a key component of reproductive health care but is often neglected in discussions between TGD patients and their health care professionals. Clinicians must strive to meet the contraceptive health care needs and desires of TGD patients in a gender-affirming manner within a safe and accepting space. Here, we summarize the current reproductive health care landscape and provide contemporary perspectives on how to improve contraceptive care for TGD individuals.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.169
GPT teacher head0.432
Teacher spread0.263 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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