Evaluating System Change Initiatives: Advancing the Need for Adapting Evaluation Practices
Bibliographic record
Abstract
Abstract: This article describes key challenges experienced and addressed during the evaluation of the Government of Alberta’s 10-Year Fetal Alcohol Spectrum Disorder (FASD) Strategic Plan (2007–2017). The purpose was to understand how the strategic plan was progressing toward outcomes at the fifth year of its implementation. Following a description of the system change initiative and evaluation context, an account of key challenges for one outcome is presented, including attempts to address and the effects on the evaluation. The implications for evaluation practice focused on encouraging evaluation participation and enhancing usefulness of data highlight the need for infrastructure to support evaluation of system change initiatives.
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 | 0.732 | 0.741 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.012 | 0.026 |
| Scholarly communication | 0.039 | 0.033 |
| Open science | 0.012 | 0.030 |
| Research integrity | 0.009 | 0.021 |
| Insufficient payload (model declined to judge) | 0.004 | 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".