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Record W173784418

Re-Marking on History, or, Playing Basketball with Godzilla: Thomas King’s Monstrous Post-colonial Gesture

2003· article· en· W173784418 on OpenAlexaff
Gerry Turcotte

Bibliographic record

VenueResearch Online (University of Wollongong) · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsSt. Mary's University
Fundersnot available
KeywordsBasketballColonialismGestureHistoryArtComputer scienceArtificial intelligenceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

[Extract] The act of colonisation is articulated through the language of Western epistemology: through “scientific” discourses and reasonings — such as cartography, historiography, law and taxonomy — and through the language and practices of Christianity: collectively what Stephen Slemon has termed the “cognitive legacies of imperialism”. The inevitability and rightness of this on-going act — this “false totalization” — have been recorded, perpetuated and naturalised through a series of Master Narratives which organise and police the boundaries of the tale. Those who seek to resist being interpellated into such narratives frequently find that they are called upon to engage in a counter-discursive battle whose terms and conditions — even the language of the battle — have been predetermined by the very structures they seek to oppose. Like all sophisticated and organic structures, after all, imperialism has known how to bend and incorporate that which opposes it — to mask, absorb, transform or elide contradictory accounts — so that not all counter-discursive gestures against it are successful.

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)0.002
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: none
Teacher disagreement score0.162
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.012
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.003

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 head0.101
GPT teacher head0.344
Teacher spread0.243 · 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

Citations18
Published2003
Admission routes1
Has abstractyes

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