Establishing the content validity of the community safety and peace index
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
There is a relative paucity of research on the drivers, indicators and mediating mechanisms underlying community level safety and peace promotion. We developed community-level safety and peace indicators drawing on two community-based studies. Guided by the values and principles of Community Based Participatory Research (CBPR) and classical test methodology, the initial index development phases included: conceptualisation, identification of dimensions, operationalisation of dimensions, refinement of indicators, item generation, and item reduction phase. Content validity evidence is crucial for developing scientifically sound instruments and demonstrating a clear causal connection between the targeted construct and the items designed to measure it. The aim of this study is to establish the content validity of the Community Safety and Peace Index (CSPI), which primarily drew on local community-based knowledges in its development. The different data sets were triangulated in a retrospective evaluation workshop, three expert panel reviews, community input, and test developers' consensus. The team reached consensus on the conceptualisation and measurement of community safety and peace, operationalisation of key constructs, identification of dimensions, indicators, and questionnaire items.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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