No Man Left Behind: How and Why to Include Fathers in Government-Funded Parenting Strategies
Bibliographic record
Abstract
In December 2015, Shift released the Men and Boys Violence Prevention Project: Informing a Government of Alberta Action Plan to Engage Men and Boys to Stop Violence Against Women. One of the key priorities identified within this action plan was the need for new funding and support to increase positive fatherhood involvement as a key prevention strategy for domestic violence. To meet this need, Shift produced No Man Left Behind: How and Why to Include Fathers in Government-Funded Parenting Strategies (to download report, click on PDF below). This report draws on five different research methods to provide findings and recommendations specific to the Government of Alberta. It is our hope that this report will lead to a robust discussion along with policy, practice and investment changes throughout Alberta. For the details of the research that supported the development of this report, please see the Fatherhood Involvement Reference Report. Shift welcomes any feedback and would be pleased to present the research and recommendations to groups throughout Alberta.
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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 | 0.032 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".