Creating communities of care: Delineating work in the information-care relationship
Bibliographic record
Abstract
Caregiving is fundamental to our capacity to live in community yet the work involved in care provision is easily overlooked. This case study explores the information-care relationship while making visible the information work needed to coordinate a community of care for an older adult with Alzheimer’s disease. La prestation de soins est une part essentielle de notre capacité à vivre en communauté, et pourtant le travail qu’implique la prestation des soins est facilement négligé. Cette étude de cas explore la relation information-santé, tout en rendant visible le travail informationnel nécessaire pour coordonner une communauté de soins pour une personne âgée souffrant de la maladie d'Alzheimer.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.027 | 0.033 |
| Scholarly communication | 0.018 | 0.017 |
| Open science | 0.003 | 0.025 |
| Research integrity | 0.004 | 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".