Rural Youth Leadership: Connecting Frameworks for Practice
Bibliographic record
Abstract
Youth leadership is a concept that is distinctly separate from adult leadership practices and is commonly misunderstood as a non-valid source of knowledge to influence the conversation in leadership development. Expanding the capacity of rural communities and furthering the discussion surrounding youth leadership provides a foundation for sustainable rural livelihoods. The purpose of this project is to connect frameworks for practitioners in the field of rural development. The project will contain an overview of the current status of rural youth leadership in Ontario and connect the cynefin framework and johari window to practitioners in order to provide further depth in the discussion of leadership development. Through providing insight on the contemporary landscape of rural youth in Ontario and highlighting frameworks that have been borrowed by other fields can support the conversation of rural youth leadership. Rural youth leadership as a practice in community development recognizes the struggles youth face while set on the periphery of practical elements that attract youth such as post-secondary education and career opportunities. While also recognizing rural youth have advantages when compared to urban youth in terms of sense of community, volunteer opportunities, and civic participation. All in which are factors practitioners can use to develop tools to further empower frameworks in practice.
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.
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 | 0.039 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.014 | 0.061 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".