Adult Deviant Leisure Tendency Scale (ADLTS) – scale development study
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
Deviant or purple leisure associated with crime and criminal behaviour is notable as the non-innocent aspect of leisure. However, the deviant behavioural tendencies of leisure participants are an overlooked issue. The purpose of this study is to develop a scale to evaluate the deviant leisure tendencies of individuals. First, in-depth interviews and content analysis were conducted to generate the initial items. Second, exploratory factor analysis was conducted with 165 university students to determine the ideal number of items and to facilitate factor extraction. Third, confirmative factor analysis was employed to investigate 350 subjects on-site. Experimental evidence on psychometric qualities was uncovered through these processing steps and the Adult Deviant Leisure Tendency Scale (ADLTS) (one dimension and five items) was developed. As a result, it can be said that ADLTS is a valid and reliable measurement tool for individuals.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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