MétaCan
Menu
Back to cohort
Record W3118465979 · doi:10.1525/aft.2020.47.4.50

Documenting Extractive and Indigenous Futurities

2020· article· en· W3118465979 on OpenAlexaboutno aff
Patrick Brian Smith

Bibliographic record

VenueAfterimage · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCapitalismColonialismSpeculationDecolonizationContext (archaeology)Power (physics)Work (physics)SociologyPolitical economyPolitical scienceEnvironmental ethicsHistoryLawEconomicsArchaeologyPoliticsEcologyEngineeringPhilosophy

Abstract

fetched live from OpenAlex

The aim of this article is to examine how different modes of moving image practice can expose and critique the impacts of extractive capitalism and settler colonialism on Indigenous communities in northern Canada. The article focuses on the work of two contemporary artist-filmmakers, Thirza Cuthand and Thomas Kneubühler. Their work has consistently engaged with the impacts of late capitalist violence and power within the context of settler-colonial Canada. The article argues that these filmmakers’ engagements and critiques of such formations of power are built around radically different framings and conceptualizations of futurity—as both a dominant logic within the exploitative rationale of extractive capitalist speculation and projection (Kneubühler), but also as a potential catalyst for Indigenous decolonization and self-determination (Cuthand).

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.047
Scholarly communication0.0110.004
Open science0.0010.006
Research integrity0.0010.003
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 head0.043
GPT teacher head0.251
Teacher spread0.209 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAfterimageSame topicArtistic and Creative ResearchFrench-language works237,207