What is Leisure? The Perceptions of Recreation Practitioners and Others
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purposes of this research were to determine if agreement exists among leisure services practitioners regarding the meaning of leisure and to examine how they describe themselves and the body of knowledge related to leisure services. In addition, these responses were compared with a group of individuals outside the field to determine if these practitioners possess a unique understanding of leisure, leisure practitioners, and the body of knowledge. Members of the Recreation Branch of the Ohio Parks and Recreation Association (n = 108) and a purposive sample of employees of two local adoption agencies (n = 30) completed questionnaires, including a True/False section, a three-part free-list component, and demographic information. Data were analyzed according to consensus modeling theory using Anthropac™ data analysis software and SPSS™. The True/False data indicated high agreement, and thus, “culturally correct” definitions of leisure for each group that support traditional and multidimensional definitions of leisure. When analyzed along with the free-list data, the most frequently reported dimensions of leisure paralleled traditional definitions (i.e., free time, activities). The responses of both groups indicate that professionals need to know about management and activities. Implications of these findings are discussed in relation to models of service provision.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it