The Role of Peer Influence in Adolescent Academic Motivation: A Review of Mechanisms, Contexts, and Future Directions
Bibliographic record
Abstract
Academic motivation in adolescents is a significant force with the potential to affect their future success, and peer influence plays a major role therein. Here we review this dichotomy, sifting through the literature to consolidate recent findings and realign a field that has started to go in many different directions. Moreover, our synthesis makes evident that peer influence is not a simple dichotomous good-or-bad quality, but rather a friend group-level attribute with varying outcomes based on the overall attitude and ways of interacting within such a group. In most cases, positive influence works in a more subtle way, as it acts indirectly by increasing the confidence and engagement of a student. Conversely, a very negative influence, particularly online, looms to drain academic attention directly from the student. As a result, it presents a relatively comprehensive framework for addressing this complex topic, as well as opportunities for future research in relation to digital peer dynamics and more efficient interventions in the schools.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".