Vibrancy and resiliency - through youth-led social and economic and social innovations
Bibliographic record
Abstract
How do we foster communities that welcoming, wealthy and wise? Engage Colchester-Truro (Engage C-T) is facilitating purposeful, positive, and leadership by students at both NSCC and Dalhousie University in a local movement for greater resiliency and vibrancy. The ONE Nova Scotia study indicated low economic performance and declining rural populations. This sessions examines some interesting ways to bolster youth resiliency and engagement. Students also are community facilitators, change agents and learners. As well, several student researchers are investigating ways to make the region the best it can be. These initiatives help Colchester-Truro to rewrite its story of how we are making this the coolest place to live and the best story to tell. Two of the collaborators, a student and a professor, will discuss what they have gained from community research for community change. This session has relevance to policy at all levels of government. Strategies to enhance resiliency include playful and strategic social and economic development intervention. It also includes discussions of ways to nourish the cultural fabric of the community, include newcomers and celebrate artist and innovative approaches to community resiliency.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".