MétaCan
Menu
Back to cohort
Record W3207252103 · doi:10.33182/bc.v11i2.1222

Newcomer challenges with accessing healthcare services in Saskatchewan, Canada

2021· article· en· W3207252103 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBORDER CROSSING · 2021
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of ReginaUniversity of Saskatchewan
Fundersnot available
KeywordsHealth carePublic relationsHealthcare serviceVariety (cybernetics)BusinessInterpretation (philosophy)Service (business)NursingInternet privacyPsychologyKnowledge managementMedicinePolitical scienceMarketingComputer science

Abstract

fetched live from OpenAlex

Newcomers experience a variety of barriers to healthcare services. The study objective is to identify newcomers’ healthcare barriers. During 2014-2015, we conducted in-depth interviews with service providers, and newcomer parents who had been in Saskatchewan for under 5 years. Primary themes include: 1) navigation difficulty, 2) limited awareness, 3) language, 4) interpretation and translation, 5) health benefits, 6) service limitations and stigma, 7) gender and cultural concerns, 8) health attitudes and beliefs, and 9) work demands. The results exposed service gaps and suggest options to improve access to healthcare. Consideration should be given to the development of formal processes to ensure the provision of information concerning healthcare and health benefit programs, as well as responsive healthcare services, including convenient primary healthcare sites that offer comprehensive care in a culturally responsive manner with embedded interpretation services to ensure that the Saskatchewan healthcare system does not perpetuate or create health disparities.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.623

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 head0.032
GPT teacher head0.353
Teacher spread0.321 · 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