Children and youth in sport : a biopsychosocial perspective
Bibliographic record
Abstract
Part I History and Current Status 1 The Rise of Boys' Sports in the United States, 1900 to 1970 (Jack W. Berryman, University of Washington-Seattle) 2 A History of Highly Competitive Sport for American Children (David K. Wiggins, George Mason University) 3 Patterns of Participation and Attrition in American Agency-Sponsored Youth Sports (Martha E. Ewing, Michigan State University and Vern Seefeldt, Michigan State University) Part II Readiness for Participation 4 The Concept of Readiness Applied to the Acquisition of Motor Skills (Vern Seefeldt, Michigan State University) 5 Critical Periods as Optimal Readiness for Learning Sports Skills (Richard A. Magill, Louisiana State University and David I. Anderson, Louisiana State University) 6 At What Age Are Children Ready to Compete? Some Psychological Considerations (Michael W. Passer, University of Washington-Seattle) Part III Social Processes 7 Family and Gender-Based Influences in Sport Socialization of Children and Adolescents (Susan L. Greendorfer, University of Illinois John H. Lewko, Laurentian University Karl S. Rosengren, University of Illinois) 8 Parental and Peer Influence on Children's Psychological Development through Sport (Robert J. Brustad, University of Northern Colorado) 9 The Coach as a Focus of Research and Intervention in Youth Sports (Ronald E. Smith, University of Washington-Seattle and Frank L. Smoll, University of Washington-Seattle) 10 Interpersonal Sources of Violence in Hockey: The Influence of the Media, Parents, Coaches, and Game Officials (Norman Morra, York University and Michael D. Smith, York University) Part IV Anatomical and Physiological Concerns 11 The Young Athlete: Biological Growth and Maturation in a Biocultural Context (Robert Malina, University of Texas-Austin) 12 Sport and the Child: Physiological and Skeletal Issues (Donald A. Bailey, University of Saskatchewan and Roy L. Rasmussen, St. Francis Xavier University) 13 The Maturing Young Female Athlete: Biophysical Considerations (Christine Wells, Arizona State University and Lynda B. Ransdell, Arizona State University) 14 Anabolic Steroid Use in Adolescent Athletes (David A. Van de Loo, University of Washington- Seattle and Mimi D. Johnson, University of Washington-Seattle) 15 Strength Training in Children and Adolescents (David R. Webb, The Duluth Clinic) 16 Overuse Injuries in Young Athletes (Russell H. Lord, Montana State University and Bill Kozar, Boise State University) Part V Psychological Issues 17 Social Evaluation and the Competition Process: A Developmental Perspective (Tara Kost Scanlan, University of California-Los Angeles) 18 Perceived Competence in Young Athletes: Research Findings and Recommendations for Coaches and Parents (Thelma S. Horn, Miami University and Amy Harris, Miami University) 19 Enhancing Children's Sport Experiences (Terry D. Orlick, University of Ottawa and Louis Zitzelberger, University of Ottawa) 20 Expertise in Youth Sport: Relations between Knowledge and Skill (Jere D. Gallagher, University of Pittsburgh Karen E. French, University of South Carolina-Columbia Katherine T. Thomas, Arizona State University Jerry R. Thomas, Arizona State University) 21 Competitive Anxiety: Sources, Consequences, and Intervention Strategies (Frank L. Smoll, University of Washington-Seattle and Ronald E. Smith, University of Washington-Seattle) 22 Moral Development and Children's Sport (Brenda Jo Light Bredemeier, University of California- Berkeley and David Lyle Light Shields, University of California-Berkeley) Part VI Future Directions 23 Sport Psychology: Future Directions in Youth Sport Research (Daniel Gould, University of North Carolina - Greensboro) 24 The Future of Youth Sports in America (Vern Seefeldt, Michigan State University)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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 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".