‘Recent trends in community programming : an assessment of Lynn Canyon Ecology Centre’
Bibliographic record
Abstract
Due to a decline Vancouver’s social capital from an aging population and increasing time spent indoors the Lynn Canyon Ecology Centre should take note of the following recommendations: continue to focus on differentiating the content of programming; keep up with new marketing strategies (increase internet presence); rebrand programming as having physical exercise involved; engage high-school students by encouraging the creation of after school volunteer programs, and enable them to organize and design the programs. These recommendations were designed for the Lynn Canyon Ecology Centre, in order to capitalize on potential opportunities, and fill in current program gaps. The recommendations were created in conjunction with an informed assessment of relevant demographic and social trends of the past decade in the District Municipality of North Vancouver, British Columbia. All of the above recommendations and conclusions were found in pursuit of answering the following two research questions: 1) What are the driving factors causing changes in community program participation from families in North Vancouver, and is this consistent with Metro Vancouver? 2) What can the Lynn Canyon Ecology Centre do in terms of programming to foster community support and involvement? Supporting arguments provided are derived from primary and secondary source research, which includes peer-reviewed literature regarding environmental education, marketing strategies, demographic statistics and the health affects of physical activities; and four in-depth interviews with public programming staff at various organizations in Metro Vancouver.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".