Caring through: Engaging with temporality of care in more-than-human design
Bibliographic record
Abstract
Care is a political and ethical everyday practice with nested processes and relationships. In more-than-human design, care is a practice that allows a deep engagement with time and temporality. Existing terms such as caring for and about fall short in accounting for this engagement by not bringing to the fore the diverse temporal frames embedded in care relations and the fluidity of agency between caregiver and receiver roles. This paper provides a typology informed by different kinds of care based on engagement with time and labor, such as caring for, about, and through. Specifically, we contribute caring through as a concept emphasizing the role of more-than-human temporality in care practice. Caring through accounts for plural engagements with time, the interdependence between caregiver and care receiver, and mediated aspects of care where care becomes making time for the other.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.033 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".