“Whenever there’s trouble, just yelp for help”: Crime, conservation, and corporatization in <i>Paw Patrol</i>
Bibliographic record
Abstract
With few exceptions, cultural criminologists have yet to investigate how crime, criminalized individuals, and punishment are depicted in children’s television programming. Undertaking the case study of the popular animated children’s series PAW Patrol, I find that crime is committed predominantly by literal outsiders and that wrongdoers are temporarily warehoused or forced to engage in hard labor. In this world, politicians are presented as incompetent or unethical and the state, either incapable of delivering or unwilling to provide basic social services to citizens, relies on the PAW Patrol corporation to investigate crime, rescue non-human animals in states of distress, and recycle. I argue that the series suggests to audiences that we can and should rely on corporations and technological advancements to combat crime and conserve, with responsibilized individuals assisting in this endeavor. Ultimately, PAW Patrol echoes core tenets of neoliberalism and encourages complicity in a global capitalist system that (re)produces inequalities and causes environmental harms.
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.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".