Fostering kinship with animals: animal portraiture in humane education
Bibliographic record
Abstract
Visual depictions of animals can alter human perceptions of, emotional responses to, and attitudes toward animals. Our study addressed the potential of a slideshow designed to activate emotional responses to animals to foster feelings of kinship with them. The personal meaning map measured changes in perceptions of animals. The participants were 51 students enrolled at a pre-university college in Montreal, Quebec. Major conceptual themes were developed based on students’ responses on the PMM both pre- and post-slideshow. Ninety-two percent changed their perceptions of ‘Animal’ after viewing the slideshow. Pre-slideshow perceptions of ‘Animal’ were described primarily as Pets/Symbols, Biological/Wild Nature, Commodity/Resource, and Dangerous. After the show, the perceptions shifted to Kinship and Sentience/Individuality, with substantial increases in the depth and emotion associated with responses. Thus, viewing animal portraiture improved feelings of kinship with animals and enhanced perceptions of animal individuality in a classroom setting.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".