Increasing capacity of rural clients to access economic development programs: The Ontario BRE case study
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
Recognizing the importance of a meaningful business visitation program as a mechanism to monitor the health of a business community, the Ontario Ministry of Agriculture, Food, and Rural Affairs (OMAFRA) has supported rural municipalities and organizations in their implementation of business retention and expansion (BRE) programs since 1998. Since that time, OMAFRA has provided support for over 240 community/volunteer-led projects, with more than 9000 businesses surveyed across the province. As OMAFRA’s clients and the economy continue to evolve, the program has benefitted from a number of updates. This article will examine how OMAFRA adapted its BRE program to enhance the capacity of its rural clientele to undertake the program and implement-related strategic economic development outcomes. These findings can inform other state and provincial-level programs to prepare their clientele to be successful with BRE.
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 | 0.004 | 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 | 0.010 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.001 |
| 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