Biocultural synthesis of adolescence: a roadmap to advance the field
Bibliographic record
Abstract
Adolescence is an expansive, dynamic period within the life course, covering a broad age range (10‐24 years) and a cascade of biological and cultural changes. However, biocultural approaches to adolescence have been less well developed within existing research compared to child and adult counterparts. In this article, we present a roadmap to revisit received wisdom about adolescence and to advance the study of adolescence rooted in biocultural frameworks. Drawing on existing biocultural and anthropological work, we present three main opportunities to (1) challenge assumptions, (2) embrace adolescent diversity, and (3) innovate biocultural methods in the study of adolescence. We invite readers to reflect upon this synthesis in their future studies with and among adolescent populations in varied socioecological milieus.
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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 | 0.036 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 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".