Bibliographic record
Abstract
This multidisciplinary book brings together a series of critical engagements regarding the notion of ethical practice. As a whole, the book explores the question of how the current neo-liberal, socio-political moment and its relationship to the historical legacies of colonialism, white settlement, and racism inform and shape our practices, pedagogies, and understanding of encounters in diverse settings. The contributors draw largely on the work of Sara Ahmed's Strange Encounters: Embodied Others in Post-Coloniality , each chapter taking up a particular encounter and unravelling the elements that created that meeting in its specific time and space. Sites of encounters included in this volume range from the classroom to social work practice and from literary to media interactions, both within Canada and internationally. Paramount to the discussions is a consideration of how relations of power and legacies of oppression shape the self and others, and draw boundaries between bodies within an encounter. From a social justice perspective, Unravelling Encounters exposes the political conditions that configure our meetings with one another and inquires into what it means to care, to respond, and to imagine oneself as an ethical subject.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".