Police presentational strategies on Twitter in Canada
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: QualitativeConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.667
- Threshold uncertainty score
- 0.332
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
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 | 0.000 |
| 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)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.321 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
This empirically driven paper explores police presentational strategies on popular micro-blogging social media site Twitter. A total of 105,801 tweets from Canadian Toronto Police Service Twitter accounts were examined using qualitative document analysis. Thematic issues associated with police professionalism and community policing are identified. A finding that runs throughout each thematic includes official police officer use of Twitter while off duty. A basic argument advanced herein is that official off duty use of Twitter delineates the individual officer from the policing institution but does so in an official capacity, a presentational strategy that diminishes the appearance of authoritarian relations traditionally associated with police. Suggestions for future research are noted.
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.
The record
- Venue
- Policing & Society
- Topic
- Policing Practices and Perceptions
- Field
- Social Sciences
- Canadian institutions
- University of British Columbia, Okanagan CampusUniversity of British Columbia
- Funders
- not available
- Keywords
- Presentational and representational actingOfficerSocial mediaPublic relationsDutyAuthoritarianismArgument (complex analysis)InstitutionCommunity policingThematic analysisPolitical scienceSociologyQualitative researchLawPoliticsSocial scienceDemocracy
- Has abstract in OpenAlex
- yes