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Record W4405602961 · doi:10.1080/21624887.2024.2438539

Hearts and mines. Communication, dissent and counterinsurgency around extractive projects from Canada to Colombia

2024· article· en· W4405602961 on OpenAlexaffabout
Étienne Roy Grégoire, Marc-André Anzueto

Bibliographic record

VenueCritical Studies on Security · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversité du Québec en OutaouaisUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsDissentDoctrineIndigenousSociologyPolitical scienceDemocracyLawNormativeAutonomyNorm (philosophy)Indigenous rightsLaw and economicsPolitical economyHuman rightsPolitics

Abstract

fetched live from OpenAlex

Extractivism has contributed to update Reason of State doctrines in Latin America since the mid-2000, translating cold-war categories – like that of the ‘internal enemy’ – into new ones better adapted to ‘reconciliation’ meta discourses. While the securitisation of extractive conflicts in Colombia builds on a well-established counterinsurgency expertise, emerging claims and mobilisations – around environmental issues, Indigenous rights and territorial autonomy – have also forced significant adaptations. This opened opportunities for extractive norm entrepreneurs to disseminate Canadian innovations for the management of the social environment surrounding extractive projects. These innovations can be summarised in two parts: 1. The subordination of law to practices of engagement and communication between companies and local communities through so-called Corporate Social Responsibility mechanisms; and 2. The projection of a moral imperative of transparency on communities and social actors. Beyond the strictly operational level, these normative innovations also articulate a specific kind of politico-legal doctrine aimed at mitigating the destabilising effects of emergent rights claims and neutralising the emancipatory potential of law. In this paper, we provide historical antecedents for the development of these innovations in Canada, analyse how norm entrepreneurs disseminate this doctrine between Canada and Colombia, and look at its implications for democratic uses of law.

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)0.001
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.624

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.014
Scholarly communication0.0080.002
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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

Citations7
Published2024
Admission routes2
Has abstractyes

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