Bibliographic record
Abstract
Based on a real program evaluation conducted in 2004, this article attempts to challenge conventional notions of evaluation as an empirical assessment of discrete measurable outputs and focus instead on the vision or active spirit of a community program. Working towards creation of an open and accessible community school to serve as a safe and trusted service centre for families at risk in downtown Whitehorse, Yukon, the Whole Child Project (WCP) has operated out of Whitehorse Elementary School since 2001. Encountering this program in its unique and isolated setting, and hearing first-hand accounts from the founders, participants, and community led the evaluator to a qualitative approach that allowed for expression of their vision and experiences through their stories – capturing the active spirit of the WCP rather than its objective benchmarks. This article explores the rationale, process, results, and impact of this re-imagined evaluation.
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 | 0.263 | 0.359 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".