Moments of Care in and Among Ravaged Reveries: Etuaptmumk Weavings of Community with Compassion
Bibliographic record
Abstract
Embracing Western concepts of ethics of care weaved with Indigenous ways of knowing community and care by means of Etuaptmumk/Two-Eyed Seeing, the trio of authors explore the ravaged reveries of a sudden death survivor. The authors celebrate ‘being in community with’, as they compassionately ‘care with’. Guided by their research question, what role do compassion and care play in the ongoing life of a sudden death survivor?, the authors embark on a writing differently journey, via poetry and a post hoc duoethnography, where community, compassion, and care provided to the survivor are shared and explored. Prioritizing the griever and acknowledging the trio’s pain and sensemaking from ‘knowing’ her, their established care community is celebrated to inspire others to provide examples of safe harbours that can be created for sudden death survivors as they begin returning to life and work. The authors offer their co-learning experiences, along with exploring the space of differences to promote humanity-based moral discourses on care and compassion in context, contributing to the compassion and ethics of care literature, and continuing to live in this world humanly.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.018 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".