Bibliographic record
Abstract
Bullying in schools continues to be a prevalent and complex challenge for administrators, teachers, parents and students. In her recent book The Bully, the Bullied, and the Bystander, Barbara Coloroso claims that “[t]housands of children go to school every day filled with fear and trepidation; others feign illness to avoid being taunted or attacked on the way to school or in the school yard, hallways, and bathrooms” (xvi). The consequences of bullying have led a number of victims to extreme measures, including suicide. To address the severity of bullying, a number of dramatic productions that deal with the issue have been produced, in different places in Canada, for school-aged audiences. A few recent examples include Don’t Say a Word, a collective drama on bullying, written by Vancouver teenagers and facilitated by David Diamond, at Headlines Theatre, in 2003; Theatre Direct Canada’s Ontario school tour, in 2003, of Maureen Hunter and Martha Brookes’ I met a Bully on the Hill; and Joan MacLeod’s The Shape of a Girl, which toured several Canadian cities between 2001 and 2003, with a number of performances attended by school groups. These represent but a few samples of the various Canadian productions addressing the issue of bullying.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".