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Record W2507633676 · doi:10.1108/ijhg-03-2016-0021

A journey of partnership

2016· article· en· W2507633676 on OpenAlexaffabout
Harmony Johnson, Cathy Ulrich, Nicole Cross, Margo Greenwood

Bibliographic record

VenueInternational Journal of Health Governance · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Northern British Columbia
FundersAustralian Government
KeywordsGeneral partnershipIndigenousService (business)Service delivery frameworkOriginalityPublic relationsProcess (computing)Health servicesBusinessPolitical sciencePublic administrationSociologyMedicineMarketingEnvironmental healthComputer scienceQualitative researchSocial sciencePopulation

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to describe the process of transformation in the Northern Health region of British Columbia (BC), Canada, based on a new relationship between governments of BC, Canada, and First Nations. Design/methodology/approach – Written from the perspective of four key participants in the transformation process, this paper highlights the ways in which partnership has been integral to the transformation of health service delivery to First Nations communities in Northern BC. Findings – In sharing their experiences with health system transformation through partnership, the authors of this paper hope to contribute to a growing set of promising practices as indigenous health service organizations take a greater role in health service provision, and non-indigenous health service organizations improve their understanding of and relationships with indigenous communities. Originality/value – This paper outlines a unique and leading edge transformation in health service delivery, told from the perspectives of key partners involved in the transformation process.

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)0.016
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.119
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0400.061
Scholarly communication0.0270.017
Open science0.0030.030
Research integrity0.0050.016
Insufficient payload (model declined to judge)0.0100.002

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 head0.039
GPT teacher head0.385
Teacher spread0.345 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations10
Published2016
Admission routes2
Has abstractyes

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