Going to the dogs? Police, donations, and K9s
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
Purpose Most existing literature on K9 units has focused on the relationship between police handler and canine, or questions about use of force. The purpose of this paper is to explore the relationship between private donations to public police departments, an increasingly accepted institutional practice in the policing world, and K9 units. Specifically, the authors examine rationales for sponsoring and financially supporting K9 units in Canada and the USA. Design/methodology/approach The authors focus on four main themes that emerged in analysis of media articles, interview transcripts, and the results of freedom of information requests. Findings These four rationales or repertoires of discourse are: police dogs as heroes; dogs as crime fighters; cute K9s; and police dogs as uncontroversial donation recipients. Originality/value After drawing attention to the expanding role of police foundations in these funding endeavors, the authors reflect on what these findings mean for understanding private sponsorship of public police as well as K9 units in North America and elsewhere. The authors draw attention to the possibility of perceived and actual corruption when private, corporate monies become the main channel through which K9 and other police units are funded.
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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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