The impacts of a community orchestra in a rural setting: An insight into Borderland Community Orchestra
Bibliographic record
Abstract
Abstract This article investigates the cultural impacts of a community orchestra in a rural setting through the examination of ‘Borderland Community Orchestra’, a crossborder ensemble operating in northern Ontario, Canada and northern Minnesota, United States. In May 2013, two surveys were conducted to understand how members of the orchestra and other community residents perceived the ensemble’s role in the rural arts culture of the area. The themes that emerged include the enrichment of local arts, importance of word-of-mouth communication and sense of community. Throughout the article, survey findings are reinforced by modern literature to demonstrate the necessity of community ensembles in the development of rural arts and the challenges of achieving sustainability. Survey responses are collected into three recommendations, which will assist Borderland Community Orchestra and other ensembles to more effectively connect with their communities: (1) Better marketing and increased awareness; (2) Perform more concerts; (3) Youth outreach and involvement. The conclusions illustrate the power of community musicmaking and deepen the understanding of community orchestras operating in rural areas around the world.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".