Bibliographic record
Abstract
communities. Each one serves only about 15 children and is run with the unique needs of the community it serves in mind. In this light, these Head Start programs differ significantly from the large, often multicultural Head Start programs typically seen in major U.S. cities. The CEECD Encyclopedia articles on Head Start policy focus on research done in the Head Start programs based in large, disadvantaged urban centres.1,2 Still, they do offer some insight that can be useful for programs based in small Saskatchewan First Nation communities. The CEECD Encyclopedia articles are encouraging in that they provide empirical evidence for what many workers in the field know instinctively to be true – that the Head Start programs are cost effective2 and offer positive long-term results1,2. Zigler also highlights the fact that it is difficult to produce meaningful, multifaceted, long-term change with only a few months of intervention,3 which is information field workers can bring to policy makers to support requests for funding for extended programs. Currently, Saskatchewan Head Start programs in small First Nations communities offer only a one-year program for children aged three, but a future goal
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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 | 0.013 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.023 | 0.016 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.016 | 0.026 |
| Insufficient payload (model declined to judge) | 0.051 | 0.013 |
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".