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Record W2080524055 · doi:10.1071/py00056

Primary Health Care with Immigrant and Refugee Populations: Issues and Challenges

2000· article· en· W2080524055 on OpenAlexaboutno aff
Sonja Nerad, Axelle Janczur

Bibliographic record

VenueAustralian Journal of Primary Health · 2000
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCommunity healthHealth careRefugeeImmigrationMedicineHealth equityNursingPovertyPopulation healthPublic healthHealth policyDowntownInternational healthAllianceEthnic groupEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Ontario's community health centres (CHCs) are leaders in providing community based health care programs and services. One of the primary objectives of the CHC program is to promote access to health care for populations that have traditionally experienced barriers for reasons such as language, culture and age, or for populations that are at high risk for illness such as persons living in poverty or those who are homeless. Funded by the provincial Ministry of Health and Long Term Care, Access Alliance Multicultural Community Health Centre is located in downtown Toronto, and is mandated to work specifically with immigrants and refugees to promote health and better access to health care. This paper describes the complexity of issues facing newcomers, the Centre's programs and services, as well as the organisation's struggle to define its role and value within the health and social service sector and to newcomer communities.

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)0.020
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.020
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0200.009
Scholarly communication0.0110.007
Open science0.0040.014
Research integrity0.0110.007
Insufficient payload (model declined to judge)0.0140.002

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 head0.083
GPT teacher head0.418
Teacher spread0.336 · 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

Citations12
Published2000
Admission routes1
Has abstractyes

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