Bent to the Shape of Wordlessness: Home, Hogs and Community at the Limits of Discourse
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.139 |
| Scholarly communication | 0.020 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".