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Record W2073432809 · doi:10.1080/13691050802710642

Providing family planning and reproductive healthcare to Canadian immigrants: perceptions of healthcare providers

2009· article· en· W2073432809 on OpenAlexaffabout
K. Bruce Newbold, Jacqueline Willinsky

Bibliographic record

VenueCulture Health & Sexuality · 2009
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHealth careImmigrationFamily planningHealth professionalsReproductive healthInterpreterNursingPerceptionPopulationMedicinePsychologyPublic relationsPolitical scienceEnvironmental healthResearch methodology

Abstract

fetched live from OpenAlex

Cultural impacts on health experiences and behaviours are profound in the area of reproductive health and family planning. Explored through interviews with family planning healthcare professionals, this paper evaluates their experiences in providing family planning and reproductive healthcare to immigrants in the Greater Toronto and Hamilton area of Ontario, Canada. Results reveal the complexity of delivering care to members of this group, particularly when dealing with language barriers, situations when professional and non-professional interpreters are used, and instances where healthcare professionals realize that they themselves have misconceptions and misunderstandings about other cultures. The paper concludes by discussing future research options and implications for the delivery of reproductive health family planning services to this population.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.044
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
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 head0.056
GPT teacher head0.403
Teacher spread0.347 · 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

Citations47
Published2009
Admission routes2
Has abstractyes

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