MétaCan
Menu
Back to cohort
Record W2248072158 · doi:10.1215/00382876-3157391

Idle No More and Fourth World Social Movements in the New Millennium

2015· article· en· W2248072158 on OpenAlexaboutno aff
Dina Gilio-Whitaker

Bibliographic record

VenueSouth Atlantic Quarterly · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousFourth WorldSovereigntyLegislationPolitical scienceSocial movementDeclarationPower (physics)Political economySociologyLawPoliticsChina

Abstract

fetched live from OpenAlex

Idle No More (INM) has emerged as the most significant fourth world social movement of the twenty-first century so far. Responding to draconian and regressive legislation affecting Canadian First Nations' sovereignty, INM was quickly embraced as a movement for all fourth world and Indigenous peoples. This essay examines some of INM's inflections as a fourth world movement, looking at both its resemblances to and differences from earlier Indigenous social movements, and focusing on the United States. Even though INM emerged as a protest movement specific to attacks against Canadian First Nations' peoples, its concerns mirror the concerns of Indigenous peoples globally. But confusing media messaging has consistently misconstrued the self-determination demands in fourth world social movements since the civil rights era, more recently conflating them with environmentalism. Modeling the life cycle of a social movement, the earlier Red Power movement in the United States is seen as having become institutionalized, albeit within contested conceptions of self-determination. Since the passage of the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) in 2007, Indigenous peoples have a new protection framework to draw from, and the article examines how UNDRIP is being deployed by fourth world peoples, by INM, and in other local contexts, identifying its possibilities and shortcomings.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.295
Teacher spread0.272 · 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 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

Citations11
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueSouth Atlantic QuarterlySame topicIndigenous Health, Education, and RightsFrench-language works237,207