Special issue on health and fatherhood
Bibliographic record
Abstract
In this issue: INTRODUCTION: Professor Bruce Robinson and The Fathering Project - Canadian researchers and DADS IN GEAR program (Smoking cessation support for\nexpectant and new fathers) - Professor Phillip Morgan and Healthy Dads Healthy Kids - RESOURCES ON THE WEB: A guide for health practitioners - MHIRC: Resource Kit 3: Practitioners’ Guide to Men and Their Roles as Fathers - PROGRAMS AND FATHER INCLUSIVE PRACTICE: Regional Men's Health Initiative in Western Australia - Single Fathers Due to Cancer - CONFERENCES: 2015 National Men's Health Gathering - RESEARCH: Tracking the health-fatherhood connection - The Interrelationships Among Paternal and Maternal Parenting Stress, Metabolic Control, and Depressive Symptoms in Adolescents With Type 1 Diabetes Mellitus - Paternal Involvement in Pediatric Type 1 Diabetes: Fathers’ and Mothers’ Psychological Functioning and Disease Management - Paternal Metabolic and Cardiovascular Risk Factors for Fetal Growth Restriction - Demanding and challenging: Men’s experiences of living with a pregnant woman with pelvic girdle pain: An interview study - A longitudinal assessment of work situation, sick leave, and household income of mothers and fathers of children with cancer in Sweden - Paternal ADHD symptoms and child conduct problems: is father involvement always beneficial? - Impact of the ‘Healthy Dads, Healthy Kids’ lifestyle programme on the activity-and diet-related parenting practices of fathers and mothers - A Support Group for Fathers Whose Partners Died From Cancer - FROM ARCY: Think Outcomes Conference 2014 - FROM THE FAMILY ACTION CENTRE: Students who have completed the Father-infant attachment and co-parenting: Theory and intervention course
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.122 | 0.040 |
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".