Bibliographic record
Abstract
We appreciate the comments raised by Ms MacAuley. Paediatricians understand the pivotal role that parents play in their children’s lives. Parents are front and centre. Paediatricians also understand that even the best parents can’t provide everything children need for success. Parenting is not a congenital skill. Learning to be the strongest parent possible involves ongoing learning in varied ways with help and guidance from many sources. Services that support families and children are also important, and some of these need to be provided through others, including both private and public auspices. The rich landscape of family resources available across this country (eg, Parentlink centres, Early Years Centres, etc.) are significant contributors to the supports that families require. Their relational approach with families and their formal and informal work support families where they need it most – right in their own communities. Indeed, we should have explicitly mentioned the family support sector in our commentary. The string of listed and acknowledged sectors and services that we are calling on to work together are all part of the critical ‘platform’ that supports children and families. Canada’s family resource programs definitely need to be one of our most valued partners.
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 | 0.006 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.038 | 0.021 |
| Insufficient payload (model declined to judge) | 0.149 | 0.104 |
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".