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Record W1986028770 · doi:10.4000/ejas.10396

Creating a Coyote Cartography: Critical Regionalism at the Border

2014· article· en· W1986028770 on OpenAlex
Caleb Bailey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Journal of American Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRegionalism (politics)TricksterCentralityNationalismDisciplineField (mathematics)HistorySociologyAnthropologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

This article develops and deploys critical regionalism as a theoretical framework that enables a comparative transnational critique of North American border regions. Taking its lead from developments in the field of Postwestern Studies it incorporates critical metaphors drawn from Deleuzian philosophy in the form of nomadism and nomadic thought. Examining the nomadic traits of Coyote (the trickster) and coyote (the people smuggler), the article develops a comparative literature approach that challenges the centrality of existing discursive constructions of borders in North America as well as the disciplinary borders of “American” Studies. Through readings of depictions of Coyote and coyote in the work of Thomas King and Charles Bowden, the article suggests ways in which developing dialogue between the Mexican and Canadian borders can avoid the tendency to collapse regionalism into nationalism and respond to calls for more hemispheric approaches to the discipline.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.365
Teacher spread0.331 · 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