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
Economic development practitioners and theorists recognize that community-based strategies offer the best opportunity for rural economic development. But, rural communities also need assistance in identifying and implementing their strategies. Two key needs are financial support and technical assistance. In this article, the authors describe a benchmarking tool that provides rural communities in Newfoundland and Labrador, Canada with a means to identify their individual strengths and weaknesses, and how they compare with immediate peers. This is the typical benchmarking function, but the tool also provides a way to show individual communities the benefits of regional agglomerations at different levels of geography. Unlike most benchmarking exercises that simply provide lists of indicators, the authors link the indicators through a simplified structural model of the local economy. By focusing on composite indicators, the Rural Economic Capacity Index provides community leaders with a sense of the “big picture” that can help them in the process of framing a development strategy.
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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it