Constructing bullying in Ontario, Canada: a critical policy analysis
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
As the prevalence and negative effects of bullying become widely known, people around the world seem desperate to solve the bullying “problem”. A sizeable body of research about many aspects of bullying and a plethora of anti-bullying programmes and policies now exist. This critical policy analysis asks: how does Ontario, Canada’s bullying policy support and/or undermine critical democracy; and how does it reflect, support and further the interests of neoliberalism and/or neoconservatism? Findings indicate that the policy constructs the problem of bullying as a problem of individuals and a “behaviour for learning” problem. The policy also prescribes standardised responses to bullying incidents. We explore ways in which these constructions are undemocratic and unjust. The findings are particularly concerning because bullying policies are often viewed as innocuous by practitioners. This paper offers more than just critique by providing suggestions for how research and policies can become more just and equitable and how bullying policy may be enacted to support critical democracy.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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