MétaCan
Menu
Back to cohort
Record W4405765688 · doi:10.1080/13600818.2024.2438867

An indigenous community-led project in Nunavik: a story of self-determination and resistance amidst the ongoing presence of coloniality

2024· article· en· W4405765688 on OpenAlexaffabout
Sarah Fraser, Jennifer Hunter, Raymond Mickpegak, Katsitsiio Splicer, Nancy Beauregard

Bibliographic record

VenueOxford Development Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMakivik CorporationKahnawake Schools Diabetes Prevention ProjectNunavik Regional Board of Health and Social ServicesUniversité de Montréal
Fundersnot available
KeywordsIndigenousResistance (ecology)Political scienceEconomic growthSociologyDevelopment economicsGender studiesEconomicsEcologyBiology

Abstract

fetched live from OpenAlex

In the struggle for self-determination, Indigenous communities in Canada have been developing community-based health and social services to support family and community wellbeing. In the development of these initiatives, non-Indigenous actors, are sometimes involved. These relationships cannot be dissociated from coloniality and colonial history, yet the specific influences of external support on the development of Indigenous-led community-based projects are not well understood. Research in international development highlights the need for deeper understandings of these dynamics to strengthen self-determination. Working with a decolonial and relational approach, this organizational ethnography uses storytelling with key members of the Ilagiinut project to articulate the changing relationships between Inuit and non-Inuit partners in an Inuit-led community Family House organization in Nunavik. The study illustrates the ways in which coloniality can interfere with the development of an organization and how resistance offers possibilities to uphold Inuit ways of knowing, of doing and of leading in this field.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.935

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0360.024
Scholarly communication0.0060.003
Open science0.0030.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.370
Teacher spread0.337 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueOxford Development StudiesSame topicIndigenous Health, Education, and RightsFrench-language works237,207