Conscientizing prevention and awareness : an ecological model for halting violence against women and family violence
Bibliographic record
Abstract
As a pressing social problem, education is often cited as an accompaniment to halting violence against women and family violence. As an accompaniment, education is thought to support intervention at the individual-relationship levels of interaction, and, to supplement programs of prevention and awareness at the community-societal levels of interaction. The purpose of this enquiry is to examine multidimensional approaches for preventing violence against women and family violence at the community-societal levels of interaction. As effective as multidimensional approaches are to halting violence against women and family violence, efforts were strengthened when a multidimensional approach coincided with a multi pronged attack from a variety of organizations ranging from international agencies such as the World Health Organization, national agencies such the Department of Justice and Health Canada, along with Provincial and local service providers as well, all under a multidimensional curricular umbrella to halt violence. Nevertheless, this enquiry concludes by finding a fairly consistent message of conscientization from all service providers that violence against women and family violence are intolerable.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.022 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".