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Record W4283209990 · doi:10.1177/23294965221109167

“We Must Work… Toward Justice in Action”: Grievances, Claims Making, and Spillover in the Idle No More Movement

2022· article· en· W4283209990 on OpenAlex
Julie Schweitzer, Tamara L. Mix, Olivia M. Fleming

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSocial Currents · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsGrievanceSocial movementIndigenousEconomic JusticeSociologyResistance (ecology)Political economyMovement (music)CountermovementEnvironmental justiceCollective actionPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

The Idle No More (INM) movement emerged in reaction to Bill C-45, the Canadian Jobs and Growth Act, in November 2012, inspiring a new wave of activism. Central to the movement’s grievances are Indigenous resistance and environmental justice (EJ), positioning INM’s activities against neo-colonialism, exploitation, and environmental degradation. We build upon existing EJ movements, Indigenous Peoples/Indigenous Environmental Justice (IEJ) movements, and social movement spillover, grievance, and claims making literatures to understand the role of shared movement narratives in encouraging mobilization. INM relies on social media to educate members and construct and communicate movement goals and actions. Analyzing 6 months of Facebook comments, reflecting the INM movement’s emergence period, we argue that INM activists employ structural grievances embedded in previous EJ and Indigenous resistance movements, combined with emerging (incidental) grievances to articulate shared claims that address inequality and justice, appealing to a range of potential supporters. We offer an analysis of the emergent INM movement to consider the active intersection of EJ, Indigenous Peoples, and IEJ movements to mobilize and sustain movement activities in spite of Bill C-45’s passage.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.798

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 studies0.0010.000
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 head0.089
GPT teacher head0.395
Teacher spread0.306 · 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