Strengthening and sustaining a community through reciprocal support between local businesses and the community
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
Purpose Community economic development (CED) focuses on the creation of sustainable communities. To that end, a reciprocal relationship that sustains the community and business alike can be created. However, little is known about the nature of informal interactions between residents and businesses that achieves that end. This study aims to explore the nature of these interactions and their contribution to CED within a rural context. Design/methodology/approach A case study approach was used with interviews with five rural entrepreneurs. Questions explored the nature of the support that they receive from their home community and their contributions back to it. Findings The results show that communities and businesses do not operate independently of each other, but rather are mutually supportive and contribute directly to the other’s objectives. These relationships are reinforced over time by a business owner’s direct involvement in the community, though this process takes time and effort. Research limitations/implications This study focuses on a limited geographical area in British Columbia with a small group of rural entrepreneurs. The results may not be generalizable to other contexts. Practical implications The results suggest concrete actions that both the rural entrepreneurs and their associated communities can take to be mutually supportive of each other to the benefit of each party alike. Originality/value This paper enlarges the understanding of the types of interactions, especially informal ones, that can support both businesses and the larger community in their efforts to sustain themselves and contribute to CED efforts.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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