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Record W2811374628 · doi:10.1080/2201473x.2018.1491157

The enduring settler-colonial emergency: Indian Affairs and contemporary emergency management in Canada

2018· article· en· W2811374628 on OpenAlexafffundabout
Tia Dafnos

Bibliographic record

VenueSettler Colonial Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndigenousColonialismEmergency managementUnrestState of emergencyPublic administrationPoliticsPolitical scienceGovernment (linguistics)Law

Abstract

fetched live from OpenAlex

Since the early 2000s, the department of Indigenous and Northern Affairs Canada (INAC) has formalized and systematized how it produces knowledge about ‘civil unrest’ involving Indigenous peoples. These practices have been undertaken as part of a government-wide all-hazards emergency management framework that consolidates ‘traditional emergency management’ (e.g. natural disasters, accidents) with the domain of national security. Through this framework, INAC monitors rallies, demonstrations, and blockades, alongside floods and forest fires, under the auspices of emergency management. I argue that these practices are continuous with ‘colonial emergency’ – a liberal legal-political mechanism originating in martial law, which enables pre-emptive political and military interventions against anti-colonial movements and Indigenous resurgence. The contemporary emergency management paradigm of national security is a manifestation of the enduring ‘colonial emergency’ for the settler-colonial state.

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 score0.160
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0260.013
Scholarly communication0.0090.002
Open science0.0020.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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

Citations11
Published2018
Admission routes3
Has abstractyes

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