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Record W6926428017 · doi:10.25384/sage.c.6781459.v1

Exploring the Impacts of Heteronormative and Cisnormative Ideologies on Fertility Intentions and Family Planning Experiences Within the 2SLGBTQ Community: A Qualitative Case Study

2023· other· en· W6926428017 on OpenAlexaff

Bibliographic record

VenueSage Journals Data · 2023
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHeteronormativityNormativeHuman sexualityQualitative researchFamily planningHealth careFertilityReproductive health

Abstract

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<b>Objectives:</b> Normative beliefs around gender and sexuality place individuals in the Two Spirit, lesbian, gay, bisexual, trans, and queer (2SLGBTQ) community at risk for poorer health outcomes within the health care system compared with their heterosexual and cisgender counterparts, particularly within gendered areas of care including family planning and fertility intentions. The purpose of this research was to explore the effect that the normative beliefs of heteronormativity and cisnormativity had on the experiences of 2SLGBTQ people engaged in family planning, and to begin to understand how health care providers can provide appropriate, safe, and holistic care. <b>Methods:</b> We conducted a qualitative study using case study methodology and completing semi-structured interviews with 11 participants with diverse genders and sexualities. <b>Findings:</b> For members of the 2SLGBTQ community, family planning is greatly affected by ideals of normal, intersections of identities, health care systems, and community. They may face additional emotional labor and intentional decision-making when related to family planning. Heteronormativity and cisnormativity greatly impact the health care that is received. <b>Conclusions:</b> The findings contribute information in the limited field of research related to the 2SLGBTQ community and may support health care providers in providing holistic care.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0000.001
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 head0.242
GPT teacher head0.419
Teacher spread0.177 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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