MétaCan
Menu
Back to cohort
Record W4328119341 · doi:10.29173/cjnser556

Indian Act Philanthropy: Why are Community Foundations Missing from Native Communities in Manitoba, Canada?

2023· article· en· W4328119341 on OpenAlexafffundvenueabout
Craig Blacksmith, Keshab Thapa, Tayzia Stormhunter

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Manitoba
FundersMitacs
KeywordsPovertyColonialismCommunity servicePolitical scienceFirst nationNative americanPublic administrationEconomic growthGeographySociologyIndigenousEthnologyPublic relationsLawEconomicsEcology

Abstract

fetched live from OpenAlex

Could a philanthropic model aimed at community development enforce colonial policy rather than providing equitable economic opportunity? This research analyzes the transcripts of 20 public webinars on philanthropy and the Indian Act and maps the 54 community foundations in Manitoba, Canada. All 54 community foundations in Manitoba service only settler-dominated cities and municipalities, with none on Native communities. As community foundations serve only their specific geographical areas, the community foundations in Manitoba effectively concentrate wealth in settler-dominated cities and municipalities, taking away needed resources from Native communities. In excluding the poorest communities in Manitoba, this philanthropic model further entrenches marginalization, poverty, and health risks for Native people on Native communities.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.078
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0190.006
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.172
GPT teacher head0.386
Teacher spread0.213 · 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
Published2023
Admission routes4
Has abstractyes

Explore more

Same venueCanadian journal of nonprofit and social economy researchSame topicIndigenous Health, Education, and RightsFrench-language works237,207