The Interplay of Space, Place and Identity: Transforming Our Learning Experiences in an Outdoor Setting
Bibliographic record
Abstract
In this paper, we use a day-long professional development workshop for higher education faculty conducted in an outdoor setting as the starting point for an examination of the value of such activities. We explore the potential benefits, in terms of learning and holistic well-being, of educational activities designed to provide participants with sessions either in the natural environment or the built (urban) environment beyond the four walls of the traditional classroom. Drawing on the literature of ‘place-based learning’, the well-established traditions of some conference organizations, the emerging trend to mount such pre-conference workshops in the Society for Teaching and Learning in Higher Education (STLHE: Canada) and the feedback of past participants, we explore the nature of these experiences and the various outcomes, grappling with the challenge of identifying tangible ‘takeaways’ at the individual and community levels. We conclude with directions for further analysis of the role of this type of session in terms of conference pedagogy and means of measuring impact on the well-being, outlook, and practices of instructors in higher education.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.019 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".