SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILEMENT OF THE REQUIREMENTS FOR
Bibliographic record
Abstract
ii The present study examined the relationship between cyber bullying and psychosocial variables, including parenting styles, and coping strategies. A sample of Canadian students from junior high schools in the Calgary area (N = 125) ages 11 to 15 years (boys = 42, girls = 82, unknown sex = 1) completed online self-report questionnaires on cyber bullying, parenting styles, and coping strategies. To analyze the data, descriptive statistics, t-tests, and analyses of variances of the variables related to parenting styles, coping strategies, and cyber victims were calculated. Results from the quantitative analyses revealed that cyber victims reported significantly lower levels of parental autonomy than their non-cyber victim peers, but did not significantly differ on levels of parental warmth. In terms of coping strategies, cyber victims reported significantly higher levels of avoidance coping strategies than their non-cyber victim peers. In addition, females reported significantly higher levels of parental warmth and avoidance coping strategies than males. Significant, positive correlations between age and parental autonomy were found for both the cyber victim and non-cyber victim groups, but no significant relationships were found between grade and each of the six dependent variables (Warm
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.846 | 0.746 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".