Bibliographic record
Abstract
In 2006, Canadian fathering scholar Andrea Doucet shared an illuminating moment from her extensive research with single dads. After a long evening discussing these fathers’ experiences, Doucet asked, “In an ideal world, what resources or supports would you like to see for single fathers?” She expected to hear that they wanted greater social support and societal acceptance, more programs and policies directed at single dads. Instead, after a period of awkward silence, one dad stood and said, “An ideal world would be one with a father and a mother. We’d be lying if we pretended that wasn’t true.” Nods of agreement and expressions of approval followed from the other dads. Although many had had bitter experiences of separation and divorce, they could not ignore the inherent connectedness of mothering and fathering—and the profound deficit experienced when one or the other is not there. They knew because they lived it. Both a father and a mother are needed to create life, and as described by Doucet’s fathers and the doctrine of The Church of Jesus Christ of Latter-day Saints, both are needed to best facilitate the nurturing of that life.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.105 | 0.052 |
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".