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Record W7071707339

Social Innovation and Institutional Transformation. The Minowé Clinic at the Val-d’Or Native Friendship Centre

2020· other· en· W7071707339 on OpenAlexaboutno aff

Bibliographic record

VenueEspaceINRS (National Institute for Scientific Research (Canada)) · 2020
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFriendshipIndigenousScope (computer science)Social innovationPopulationTraditional knowledgePublic healthPopulation health
DOInot available

Abstract

fetched live from OpenAlex

This document outlines the institutional history of the Minowé clinic, which was created to transform the health and social services available to the Indigenous population in the city of Val-d'Or1. This project, developed by and for Indigenous Peoples, was founded 10 years ago, in 2009, by the Val-d’Or Native Friendship Centre (VDNFC). From the start, VDNFC leaders created a working group composed of stakeholders from Indigenous communities and the Quebec health network, accompanied by academic researchers who have helped ground the project in the field's latest developments at both the national and international level. The research team has documented the evolution of the project from its inception and produced new bodies of knowledge that effectively communicate the project’s scope and results, with the aim of guiding the subsequent actions and decision-making of the VDNFC leadership, in addition to expanding the academic knowledge base.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.894
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.021
Scholarly communication0.0110.003
Open science0.0010.014
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0170.001

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 head0.103
GPT teacher head0.367
Teacher spread0.264 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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