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Record W2533102561

Idle No More and the treadmill of production: Corporate power, environmental degradation, and activism

2015· article· en· W2533102561 on OpenAlexaboutno aff
Samantha Lynn West

Bibliographic record

VenueSHAREOK (University of Oklahoma) · 2015
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersAustralian Government
KeywordsIdleProduction (economics)Power (physics)Degradation (telecommunications)BusinessEnvironmental degradationEnvironmental economicsComputer scienceOperations managementEconomicsMicroeconomicsOperating systemTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Idle No More (INM) is a First Nations rights social-environmental movement that began as a response to the proposal of Bill C-45 in Canada. Bill C-45, also known as the Jobs and Growth Act of 2012, deregulated �barriers to development� by making changes to many environmental protections. Deregulation made it easier for industries to pass environmental assessments in order to expand production and extraction activities. Even though this legislation decreased ability of the First Nations to hunt and fish on shared land, the Canadian parliament passed the bill on December 14, 2012 with little to no consultation with the First Nations. The purpose of this study is to understand how the Idle No More respondents on Facebook are talking about, and actively resisting, corporate power and environmental degradation within the framework of the treadmill of production. An historical context, along with literature about social movement grievance construction and the theory of the treadmill of production is included in this analysis. This study makes use of qualitative content analysis to understand grievances and narratives posted to the INM Facebook Page during the emergence of the movement in November 2012 through February 2013. Using direct quotes from the Facebook posts as evidence, this study shows that the narratives of INM actors reflect resistance to the forces of the treadmill of production by opposing corporate power in multiple ways, and suggests that extraction companies, consumption, alliances between corporations and the government, and greed of money and power causes environmental degradation.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.016
GPT teacher head0.157
Teacher spread0.141 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2015
Admission routes1
Has abstractyes

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