‘Their Risks Are My Risks’: On Shared Risk Epistemologies, Including Altruistic Fear for Companion Animals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper builds in two ways on previous sociological studies concerning how people experience risk. Firstly, we discuss how risk is experienced in shared or altruistic ways as concern for others, and thus how emotions regarding risks produce solidarity. Secondly, we consider in particular how the others for whom one becomes concerned are not always people, and are sometimes instead companion animals such as cats and dogs, thus expanding the analysis beyond anthropocentrism and towards ‘animal-human symmetry’. Previous studies that have examined the shared or altruistic elements of fear (eg Warr, 1992) focus narrowly on crime. Those that broaden out to consider other risks besides crime (Lupton and Tulloch, 2002) do not include companion animals as subjects about whom people have concern. The article draws examples from open-ended interviews conducted in Ottawa, Canada, demonstrating how these themes arise as people narrate their experiences of risk, and pointing to the need for future research.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it