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Record W2603221858 · doi:10.11575/prism/30074

Economic Development Programs On-Reserve in the Blackfoot Confederacy: An Inquirt into Federal and Local Programs

2016· article· en· W2603221858 on OpenAlexaboutno aff
Karin Moen

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

The Harvard Project on American Indian Economic Development defines economic development as “the process by which a community or nation improves its economic ability to sustain its citizens, achieve its sociocultural goals, and support its sovereignty and governing processes.” However, it proves difficult to find concrete definitions of “economic development” in the Canadian literature, and particularly in government documents. This indicates that there is little context for the current policy work being put forward by federal and provincial governments, as well as a gap in public information on how First Nations economic development programs work together to empower Indigenous communities and to escape the cycle of dependency. If we understand programs to be the measures taken to achieve policy goals, then it is reasonable to assume that economic development programs have the general goal of facilitating Indigenous peoples in supporting their societies. This capstone project examines some key differences between federal and non-governmental programming and proposes actionable solutions moving forward in a Nation-to-Nation context. This capstone project addresses the following question: What is the effect of government and non-governmental programs on removing barriers and fostering opportunities for First Nation economic development on-reserve in the Blackfoot Confederacy? In this case, “barrier” refers to anything that interferes with a reserve community’s ability to achieve their economic and socio-cultural goals, and “opportunity” refers to actions or environments that enable a reserve community to achieve their economic and socio-cultural goals.

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)0.007
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: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.005
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.259
Teacher spread0.234 · 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
Published2016
Admission routes1
Has abstractyes

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