The End of Leisure: Are Preferred Leisure Activities Contraindicated for Education-Related Stress/Anxiety Reduction?
Bibliographic record
Abstract
Teacher stress is an increasing problem not only for practicing teachers but for student teachers as well. It leads to professional teachers leaving the profession, and future teachers enduring much stress and anxiety throughout teacher education programs. To further explore effects of stress, teacher candidates were surveyed with respect to (1) the role of their leisure preferences and (2) their stress levels related to Pedagogy, Evaluation, Class Management, and Interpersonal Relations. In Study One (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>216</mml:mn></mml:mrow></mml:math>), a profile of leisure preferences was comprised, and findings from the relationship between leisure preferences and teaching anxieties contributed to a profile to explore reduced anxiety over time. A follow-up investigation (Study Two,<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>136</mml:mn></mml:mrow></mml:math>) tested the discriminatory potential of these leisure profile variables to separate those who showed less anxiety over time from those who regressed. Surprisingly, increased anxiety was associated with higher leisure in Sports, Adventure, Travel, and Exotica and with non-Science majors, Human Kinesiology majors, and Males. Some leisure preferences appear to be counterintuitive, given commonsense notions of the value of leisure. A Leisure Preferences Profile serves to facilitate discrimination between groups (improvement in anxiety levels versus no improvement) with respect to Pedagogical and Evaluation anxiety. A Composite Profile suggests that Leisure preferences related to Sports, Adventure, and Exotica are counterproductive in reducing stress related to Pedagogy. Implications are discussed.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".