Concepts of fitness & wellness : a comprehensive lifestyle approach
Bibliographic record
Abstract
Section 1: Lifestyles for Health, Wellness, and Fitness Chapter 1: Health, Wellness, Fitness, and Healthy Lifestyles: An Introduction Chapter 2: Self-Management and Self-Planning Skills for Health Behavior Change Section II: An Introduction to Physical Activity Chapter 3: Preparing for Physical Activity Chapter 4: The Health Benefits of Physical Activity Chapter 5: How Much Physical Activity Is Enough? Section III: The Physical Activity Pyramid Chapter 6: Moderate Physical Activity: Being Active in Diverse Environments Chapter 7: Cardiovascular Fitness Chapter 8: Active Aerobics, Sports, and Recreational Activities Chapter 9: Flexibility Chapter 10: Muscle Fitness and Resistance Exercises Section IV: Physical Activity: Special Considerations Chapter 11: Body Mechanics: Posture, Questionable Exercises, and Care of the Back and Neck Chapter 12: Performance Benefits of Physical Activity Section V: Nutrition and Body Composition Chapter 13: Body Composition Chapter 14: Nutrition Chapter 15: Managing Diet and Activity for Healthy Body Fatness Section VI: Stress Management Chapter 16: Stress and Health Chapter 17: Stress Management, Relaxation, and Time Management Section VII: Avoiding Destructive Behaviors Chapter 18: The Use and Abuse of Tobacco Chapter 19: The Use and Abuse of Alcohol Chapter 20: The Use and Abuse of Other Drugs Chapter 21: Preventing Sexually Transmitted Infections Section VIII: Making Informed Choices Chapter 22: Cancer, Diabetes, and Other Health Threats Chapter 23: Evaluating Fitness and Wellness Products: Becoming an Informed Consumer Chapter 24: Toward Optimal Health and Wellness: Planning for Healthy Lifestyle Change Appendix A: Metric Conversion Chart Appendix B: Canada's Food Guide to Healthy Eating Appendix C: Calorie, Fat, Saturated Fat, Cholesterol, and Sodium Content of Selected Fast-Food Items Appendix D: Calorie Guide to Common Foods Appendix E: Calories of Protein, Carbohydrates, and Fats in Foods
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".