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Record W2557590129 · doi:10.1163/1569206x-12341484

From Countersovereignty to Counterpossession?

2016· article· en· W2557590129 on OpenAlexaffabout
Geoff Mann

Bibliographic record

VenueHistorical Materialism · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPossession (linguistics)Reciprocity (cultural anthropology)ColonialismIndigenousSovereigntySociologyWhite (mutation)GRASPEpistemologyGenealogyGender studiesHistoryAnthropologyLawPoliticsLinguisticsPolitical sciencePhilosophyBiology

Abstract

fetched live from OpenAlex

Although neither sovereignty nor possession are explicit themes of Glen Coulthard’sRed Skin, White Masks, both concepts are essential to his critique of ‘recognition’ and the ongoing dynamics of Canadian colonialism. In this response, I offer a critical examination of the status of these liberal concepts in Coulthard’s work, and suggest that he has in fact given us a powerful theory of ‘countersovereignty’. Countersovereignty forces us to consider the meanings of possession and dispossession that animate the book, which in turn allow us to grasp the radical significance of Coulthard’s emphasis on the reciprocity at the heart of Indigenous relations with the land.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score0.989

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.061
Scholarly communication0.0110.008
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.243
Teacher spread0.231 · 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 designTheoretical or conceptual
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

Citations15
Published2016
Admission routes2
Has abstractyes

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