The Social Contexts of Young People - Engaging Youth and Young Adults
Bibliographic record
Abstract
This edited volume investigates young people within their social contexts. The focus is on engaging young people as they transition from youth into young adulthood. Key advantages of this book are its embodiment of interdisciplinarity in gathering research across a range of diverse methods, theories, settings, and countries. The volume begins with reviews of key theories and methods in understanding young people within their social networked contexts of generosity, networks, identity, and ethnic heritage. The second section includes chapters attending to education and work as contexts for transitions to adulthood, counseling, meaning, and aesthetics from high school to college and into workplaces. The third section includes chapters studying community engagement and the well-being of young people, including social support, meaning in life, religiosity, spirituality, stress coping, yoga, and sports. The diverse topics addressed in this edited volume are generosity, philanthropy, voluntary action, social networks, social identity, personhood, ethnic heritage, post-colonialism, intersectionality, personality, lived experiences, informal economy, sustainability, pandemic, family support, educational counselors, motivation, ?Not in Education, Employment, or Training? (NEET), everyday aesthetics, built environment, generativity, community, adult allies, youth engagement, life satisfaction, spiritual identity, religious affiliation, stress, practicing yoga, sexual violence, athletes, sports climate, pressures to perform, resilience, and neurodiversity. Disciplines span economics, business, education, sociology, psychology, medical science, geography, journalism, architecture, engineering, science and technology, and applied sciences. Methods include quantitative surveys, qualitative in-depth interviews, life course biographies, ethnographic case studies, bibliometric analysis, and integrative reviews. Young people are investigated across thirteen countries, including the United States, United Kingdom, Yemen, Ghana, Bahrain, Norway, Denmark, Finland, Sweden, Iceland, Canada, Romania, and the Netherlands.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".