Emplaced Partnerships and the Ethics of Care, Recognition and Resilience
Bibliographic record
Abstract
Abstract The aim of the SI is to bring to the fore the places in which cross-sector partnerships (CSPs) are formed; how place shapes the dynamics of CSPs, and how CSPs shape the specific settings in which they develop. The papers demonstrate that partnerships and place are intrinsically reciprocal: the morality and materiality inherent in places repeatedly reset the reference points for partners, trigger epiphanies, shift identities, and redistribute capacities to act. Place thus becomes generative of partnerships in the most profound sense: by developing an awareness of their emplacement, CSPs commit to place, and through their place-based commitments produce three intertwined modalities of place-specific ethics that bind CSPs and place: ethic of recognition, an ethic of care, and an ethic of resilience. Our authors have found vivid examples of how emplaced CSPs embody these ethics, signaling hope for the sustainability of our (always hyper-local) life-worlds.
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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 | 0.016 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.066 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".