Unspun Heroes: An Example of Intergenerational Learning and Community Action
Bibliographic record
Abstract
According to community support advocates in XX, YY there are few formal opportunities for adult continuing education available locally. This challenges notions of community health, which outline that healthy communities are among other factors, identified as communities in which all members are highly interconnected and supported. The Unspun Heroes is an informal fibre arts group committed to learning and developing skills related to local fibre arts culture. Through an exploration of 16 Heroes’ experiences over the course of one year, it was determined that the Heroes community serves as an informal Community of Practice which supports local community cohesion, intergenerational learning and positive community action. In this research, the roles and responsibilities of the members within the CoP, as well as the characteristics of the CoP, are discussed with the aim of presenting key factors that support sustaining Communities of Practice, that in turn support community wellbeing. We identified six factors characterising the CoP, which contributed to its longevity: adherence to tradition, stress-busting, mentoring, belonging to something bigger, sharing and social connections.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.024 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".