Youth engagement: Strategic recommendations for the Vancouver writers fest
Bibliographic record
Abstract
The Vancouver Writers Fest (VWF) has been a staple in Vancouver's literary community producing literary events since 1988. Recognizing that the profile of the Festival attendees is skewed older, in 2021, the organization embarked on building a strategy to attract younger audience members by developing the range and depth of the young audience, building a stronger base, and adding to its financial sustainability. The VWF’s overall strategy is meant to be inclusive and engage young audiences from diverse communities in Vancouver. This report analyzes the VWF’s audiences, members, and volunteers and explores the challenges and barriers for young people to participate in events. The case study explores strategies to overcome these barriers.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.021 | 0.004 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".