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Record W4368282496 · doi:10.47611/jsrhs.v12i1.4012

How have organizations attempted to help the Inuit sustain their post-colonization economy, and have they been effective?

2023· article· en· W4368282496 on OpenAlexaboutno aff
Min Kyung Lee, Howie Rechavia-Taylor

Bibliographic record

VenueJournal of Student Research · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGrassrootsSustainabilityGovernment (linguistics)Political scienceArcticEconomic growthEconomySustainable communityBusinessSustainable developmentEconomicsEcologyPolitics

Abstract

fetched live from OpenAlex

European colonization of the Inuit in Arctic Canada has left a long-lasting legacy in the economies of present-day Canadian first nation communities. The long-term sustainability of the Inuit economy is becoming an ever-present issue. This research explores the ways in which multiple organizations have helped the Inuit sustain their post-colonization economy and their effectiveness in doing so. It focuses on the case of the territory of Nunavut, which has been subject to various policies and efforts to ensure the sustainability of the economy in the long term.. Policy analysis was utilized to draw conclusions from Nunavut and Canadian government policy reports as well as reports that grassroots Inuit organizations have produced. The evidence in this research suggests that governments have been partially successful in creating a sustainable economy through providing employment opportunities and spearheading mining development for the Inuit, but that their policies often encroach upon Inuit traditional values and belief systems amidst their attempted efforts to mitigate those harms. Grassroots organizations, on the other hand, have created a positive and connected environment within the Inuit community by upholding Inuit traditional values, which has been effective in sustaining the Inuit post-colonization economy. Further research and action are necessary to glean further empirical data to measure the precise negative or positive impacts of the policies and initiatives that both the government and grassroots organizations have directed for the Inuit.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.455
Teacher spread0.376 · 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 teacher head, not a consensus.

Study designObservational
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 routes1
Has abstractyes

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