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Record W2131892113 · doi:10.3138/topia.22.55

Bent to the Shape of Wordlessness: Home, Hogs and Community at the Limits of Discourse

2010· article· en· W2131892113 on OpenAlexvenueaboutno aff
Jon Gordon

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeLamentHegemonyAlienationSociologyRelation (database)CorporationAestheticsLawPolitical scienceLiteraturePoliticsPhilosophyArt

Abstract

fetched live from OpenAlex

What does hog production tell us about ideas surrounding “community” in Alberta today? The attempt by Taiwan Sugar Corporation to build a hog operation in Alberta in 1999, and the ensuing debate over this attempt, provides the occasion in this essay for reflecting on the narratives of community operating in a particular place, what those narratives share and what their limits are. The story of belonging through domination remains hegemonic on both sides of the debate examined in this article. This results from a tendency to tell the story of the successes of “our” “attack” on nature—and the promises of future successes that this narrative contains—and to cover over the initial moment of despair and the traces of homelessness which persist. Beginning with George Grant’s lament for the particular losses entailed by modern technological progress and putting this into dialogue with Ian Angus’s immanent critique of Grant as well as Jean-Luc Nancy’s unworking of the concept of community, the article suggests an alternative notion of belonging, one which always exists in relation to alienation, caught in the melee. Revealing the excess that persists in stories of community, through the examination of concrete particularities beyond this hegemonic narrative of completion, suggests a possibility for communication between the self and the Other, while disrupting such binaries.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.041
GPT teacher head0.264
Teacher spread0.223 · 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 teacher head, 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

Citations1
Published2010
Admission routes2
Has abstractyes

Explore more

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