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Record W4403338071 · doi:10.1002/14651858.cd015565

The experiences and perspectives of abortion seekers who travel for care: a qualitative evidence synthesis

2024· article· en· W4403338071 on OpenAlexaff
Jillian T. Henderson, Shaalini Ramanadhan, Katrina Kimport, Angel M. Foster, Robin Paynter, Reed Sheridan, Jane Noyes

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2024
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSeekersAbortionQualitative researchPsychologySociologyPolitical scienceBiologyPregnancySocial science

Abstract

fetched live from OpenAlex

OBJECTIVES: This is a protocol for a Cochrane Review (qualitative). The objectives are as follows: This QES aims to address the following question: What are the lived experiences and perceptions of abortion seekers (i.e. pregnant women, transgender men, and non-binary people of any gender) traveling to obtain care? The review objectives are to: synthesize the qualitative evidence to address the review question; identify factors that influence abortion travel experiences and perspectives, which may include the specific abortion regulatory and care delivery context (e.g. legal restrictions, unavailability) and abortion seekers' personal circumstances (e.g. age, race/ethnicity, gender, partnership status, gestational duration, social/family support, income/wealth).

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)0.096
metaresearch head score (Gemma)0.127
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.096
Threshold uncertainty score0.506

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0960.127
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0130.012
Science and technology studies0.0030.004
Scholarly communication0.0050.006
Open science0.0030.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0130.001

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 head0.127
GPT teacher head0.456
Teacher spread0.329 · 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 designSystematic review
Domainnot available
GenreReview

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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