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Record W2055365175 · doi:10.1080/13561820400011784

Addressing the realties of health care in northern aboriginal communities through participatory action research

2004· article· en· W2055365175 on OpenAlexaffabout
Bruce Minore, Margaret Boone, Mae Katt, Peggy Kinch, Stephen Birch

Bibliographic record

VenueJournal of Interprofessional Care · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsMcMaster UniversityAssembly of First NationsHealth CanadaThunder Bay Regional Health Sciences CentreLakehead University
FundersUlster UniversityNorthwestern University
KeywordsParticipatory action researchCitizen journalismMedicineHealth careMental healthNursingPublic relationsAction (physics)Human servicesCommunity-based participatory researchCall to actionPolitical scienceBusinessSociology

Abstract

fetched live from OpenAlex

To address concerns about disruptions in the continuity of health care delivered to residents in three remote aboriginal communities in northern Ontario, Canada, the local health authority initiated a study in collaboration with the department of Health Canada responsible for ensuring that aboriginal reserves receive mandatory health services, and an inter-disciplinary team of researchers from two universities. The study focussed on the delivery of oncology, diabetes and mental health care, specifically, as well as systems issues such as recruitment and retention of health human resources and financial costs. The paper discusses the procedures involved, the benefits derived and the challenges encountered in doing this as a community driven participatory action research project. It also summarizes the findings that led to community formulated policy and program recommendations.

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 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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.868
GPT teacher head0.767
Teacher spread0.102 · 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 teacher head, not a consensus.

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

Citations44
Published2004
Admission routes2
Has abstractyes

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