Contextualizing Leisure Research to Encompass Complexity in Lived Leisure Experience: The Need for Creative Analytic Practice
Bibliographic record
Abstract
Many qualitative manuscripts published on the phenomenon of leisure remain post positivist privileging the traditional scientific method as the way of conducting and representing research. Such traditional approaches to research lead to debates about whether interpretative accounts can accurately, adequately, directly, or completely capture, depict, describe, or portray social life. In response to this crisis of representation, many leisure scholars have adopted creative analytic practice (CAP), which allows for the creation of imaginative and creative representation including autoethnography, fiction stories, visual images, poetry, experimental media, and performance. CAP reflects a deliberate attempt to demonstrate that the processes and products of qualitative inquiry are inextricably linked. CAP purposefully engages issues connected to subjectivity, authority, authorship, reflexivity, and representational form.
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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 | 0.209 | 0.172 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.017 | 0.110 |
| Scholarly communication | 0.051 | 0.051 |
| Open science | 0.007 | 0.031 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".