Evaluation Literacy: Perspectives of Internal Evaluators in Non-Government Organizations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: While there is an abundance of literature on evaluation use, there has been little discussion regarding internal evaluators’ role in promoting evaluation use. Evaluation can be undervalued if context is not taken into consideration. Evaluation literacy is needed to make evaluation more appropriate, understandable, and accessible, particularly in non-government organizations (NGOs) where there is a growing focus on demonstrable outcomes. Evaluation literacy refers to an individual’s understanding and knowledge of evaluation and is an essential component of embedding evaluation into organizational culture. In recognition of the value of the internal perspective, a small exploratory exercise was undertaken to reveal internal evaluator roles and ways of engaging with colleagues around evaluation. Th e exercise examined a key question: What is the role of evaluation literacy in internal evaluation in the non-government sector? Three Australian auto-narrative examples from internal evaluators highlight evaluation literacy and locate it among the multiplicity of roles required for optimal evaluation uptake. Analysis of the narratives revealed the underlying issues affecting evaluation use in NGOs and the skills needed to motivate and enable others to access, understand, and use evaluation information. Responding to the call for expanded research into internal evaluation from a practice perspective, the authors hope that the findings will stimulate a wider conversation and further advance understanding of evaluation literacy.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.000 |
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 it