Developing leadership qualities in environmental sustainability through university co-curricular activities
Bibliographic record
Abstract
Purpose This study aims to provide insight into the question of whether graduate students who deliver environmental education workshops/residencies to elementary school children will develop environmental sustainability leadership qualities in themselves: a goal set in the University of Calgary’s Institutional Sustainability Strategy. Design/methodology/approach Survey research was undertaken in a case study setting. The researchers collected and analyzed data related to environmental leadership qualities, using the theory of planned behavior and an adaptation of the competing values framework. Graduate students participating in the co-curricular program responded to questions about the effect that the activity had on their knowledge, awareness and leadership characteristics. Findings Graduate students demonstrated considerable leadership potential in environmental sustainability. The survey results showed that their participation in a community educational program impacted their attitudes and awareness favorably in developing stronger competencies for leadership. In addition, they gained real-world knowledge about environmentally sustainable practices and skills to influence pro-environmental behavior changes in the community. Originality/value Through a partnership between a non-profit organization and the university, graduate students in an interdisciplinary sustainable energy development program used their formal education and previous work experience to adapt and deliver engaging and educational environmental content to younger children. This informal co-curricular activity brought together local educational institutions, educational content providers, graduate students, and elementary school children in an effective experiential learning platform to develop leadership characteristics both in the graduate students and elementary school children.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".