The impacts of a community orchestra in a rural setting: An insight into Borderland Community Orchestra
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
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.
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 | 0.005 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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