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Record W4386304538 · doi:10.32920/24050979

Women's experiences of their first pelvic exam: an arts-informed narrative inquiry

2023· preprint· en· W4386304538 on OpenAlexaffabout
Emma Avonlea MacGregor

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNarrativeNarrative inquiryPersonhoodDignityThe artsPower (physics)PsychologyMedicineGender studiesSociologyVisual artsArtLiterature

Abstract

fetched live from OpenAlex

Canadian women usually have their first pelvic exam by the age of twenty-one, and then every three years until older adulthood. Reviewed literature demonstrates that women's first pelvic exam experiences are a turning point in their healthcare trajectory. Yet, no research was found that addresses these experiences as told by women in their own words. Using Arts-Informed Narrative Inquiry, three young women were invited to tell and draw stories of their first pelvic exam experiences. From their accounts, two narrative patterns emerged, trust and voice. These were analyzed using the Narrative Inquiry three-dimensional space of experience theoretical framework, from a Critical Feminist perspective. The analysis reveals that women's first pelvic exam experiences inform their understanding of how healthcare providers, in positions of power, value and respect their personhood and dignity. These experiences go on to inform not only women’s future healthcare interactions, but other social encounters.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0130.014
Scholarly communication0.0090.005
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.123
GPT teacher head0.378
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), 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 routes2
Has abstractyes

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