"Everyone Loves Marineland!" (?): Entertainment Animal Advocacy, Praxis, and Resisting Corporate Repression
Bibliographic record
Abstract
Following allegations and graphic evidence of animal cruelty and neglect documented by ex-employee whistleblowers of Marineland Canada to the Toronto Star newspaper in late 2012, the ethics surrounding animal captivity have been increasingly contested in regional public discourse. Animal advocates in the Niagara region and beyond have been compelled to demand change at the infamous local captive animal park— whether it be welfare-oriented reform, or radical animal liberation. With this as a backdrop, this research explores the ideologies, experiences, and strategic tactics of anti-Marineland animal advocates; the sociopolitical issues surrounding the largely unexamined but serious issue of imprisoned animals as entertainers; and the ensuing governmental and corporatist attempts to squash dissent of anti-Marineland critics. Situated within a Critical Animal Studies theoretical paradigm as well as a flourishing global anti-captivity critique inspired by the film Blackfish, this project employs semi-structured interviews and participant observation methodologies to analyze advocates' views on captivity under capitalism and the effectiveness of their praxes. Finally, this research illuminates the nuances of the conventionally-upheld dualistic theoretical debate of animal welfare versus animal rights within zoo and aquaria entertainment contexts through an exploratory examination of advocates' complex ideological views.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".