Father Involvement Research Alliance (FIRA): Reporting in a CURA Partnership
Bibliographic record
Abstract
FIRA is a pan-Canadian alliance dedicated to developing and sharing of knowledge focusing on father involvement. The FIRA community university research program (2003-2009) involved 8 universities and 35 community partners across Canada, directed by Kerry Daly and coordinated by Linda Hawkins at the Centre for Families, Work & Well-Being. Work included collaborating and sharing information with fathers and mothers, academics; social, health and other service providers; educators; employers and the business sector; community, professional and labour groups, government. Tracking a diverse set of products from the work was part of the original design for the project. This poster visually demonstrates what good reporting tools within a partnership can create. It is also important to note that partnership products were tracked as evidence of impacts. www.fira.ca
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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 | 0.106 | 0.098 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| 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".