MétaCan
Menu
Back to cohort
Record W2135946046 · doi:10.18357/ijih71201112352

Strengthening Aboriginal Health through a Place-Based Learning Community

2013· article· en· W2135946046 on OpenAlexafffundvenue
John F. Anderson, Basia Pakula, Victoria Smye, Virginia Lee Peters, Leslie Schroeder

Bibliographic record

VenueInternational Journal of Indigenous Health · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsFraser HealthUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsGeneral partnershipDocumentationCitizen journalismParticipatory action researchSociologyPublic relationsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The Sts’ailes Primary Health Care Project is a partnership in Sts’ailes, British Columbia, between Sts’ailes, Fraser Health Authority (FHA), and academic researchers at the University of Victoria and the University of British Columbia. The creation of knowledge by and for Aboriginal Peoples and a commitment to strength-based research are key aspects of the project. These key elements guide the partners as they work together to explore and identify ways to enhance health services for the Sts’ailes people and other FHA clients in the region. This paper describes how the principles of place-based learning communities (PbLCs) are being implemented within the collaboration in order to facilitate the co-production of culturally appropriate strengthbased knowledge that supports the health and wellness of the Sts’ailes community. PbLCs are a welcome innovative mechanism for generating a cross-cultural understanding of local health and wellness issues. This paper makes a contribution to the documentation of successful participatory community-academic research partnerships.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.373
Teacher spread0.351 · 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

Citations14
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Indigenous HealthSame topicIndigenous Health, Education, and RightsFrench-language works237,207