Choreographing Identities and Emotions in Organizations: Doing “Huminality” on a Geriatric Ward
Bibliographic record
Abstract
Abstract This paper addresses the coconstruction of identities and emotions through the human/animal relationship, arguing that nonhuman animals can and do act as coagents in interspecies encounters. The paper narrates the extraordinary boundary-transgressing experiences of a particular kind of co(a)gency labeled “huminality” (the ongoing affective relationship of human and animal). An autoethnographic account of pet-visitation involving a woman, a West Highland white terrier named Fergus, and geriatric residents demonstrates the power of huminality to authorize the emergence and realization of different identities and selves. Examples include the intimate friend, the dignified self, the institutional resister, the gift-giver, and the available self. Huminality, in the emotional spacetime of the hospital, is rooted in empathy, concern, and affection. As ontological choreography, huminality takes us past the animal-Nature/human-culture frontier into uncharted territories of spacetime to engage in forms of life with nonhuman others. Encounters with animals, even on a geriatric ward, can transform our universe and our selves.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".