Gateway to Kindergarten Readiness Knowledge Document: The Gateway Story and the Journey to Systems Alignment
Bibliographic record
Abstract
This Knowledge Document provides an overview and final evaluation report of the Children's Defense Fund Southern Regional Office's (CDF-SRO) Gateway to Kindergarten Readiness (GTKR) initiative. This initiative sought to build upon earlier successful CDF-SRO kindergarten readiness initiatives by increasing capacity for systems alignment between private child care, Head Start, and public schools while integrating and aligning health assessments and services. Over the course of the initiative the CDF-SRO served as a coordinator and convener to recruit a cohort of three-year-old students, screen those students using best-practice academic and health instruments, and administer developmentally appropriate interventions and refer students for health care when indicated based on screening results. Throughout the program, CDF-SRO leaders and GTKR staff updated the program design and work plan based onthe changing context and lessons learned from formative evaluation results. A late-stage impacting factor on the initiative was the onset of COVID-19 in the first quarter of 2020.
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 | 0.020 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.019 | 0.011 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.038 | 0.010 |
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".