The aesthetics of the hybridization of civility: For inclusion, tolerance and an ethic of difference
Bibliographic record
Abstract
Exploring life in an emergency shelter, this article narrates the hybridization of civility – the fusion of civility and a street code premised on the threat of violence. This process does not emerge from agency, but predetermined social and economic factors. The hybridization of civility illuminates the psychic violence that envelops the shelter and its personnel. This is illustrated through the aestheticism of this hybridization (what it looks, feels and sounds like). This aestheticism suggests that civility should not be viewed as a binary between civil(ized) and uncivil(ized), but rather in terms of gradations. So doing permits acknowledging and appreciating ‘otherness’ on its own terms, and – paradoxically – recognizing ‘otherness’ as an extension of an already established norm, and thus, as existentially meaningless. The call for the ‘death’ of ‘otherness’ and championing its assimilation into the norm can sow seeds for inclusiveness, tolerance and an ethic of difference.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.103 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".