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
We use Stanley Cohen’s moral panic framework to examine concerns about fake service animals and to illuminate processes of intersectionality that shape our social relations and systems. Applying Critical Animal Studies and Critical Disability Theory, we examine media reports about fake service animals in North America to explore how these anxieties constitute a moral panic, the interests at work, and underlying ideology that motivates outrage about animals considered to be out of place. We found that classifying other animals as legitimate or not affects those animals but also impacts humans. The findings indicate that speciesist representations and restrictions imposed on nonhuman animals maintain ongoing discrimination against humans with disabilities. The study reveals how speciesism sustains ableism and advances particular economic interests. Thus, we encourage expanding research ontology to examine speciesist power relations in intersectional analysis to dismantle ableist oppressive relationships and achieve trans-species social justice (social justice beyond humans).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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