Deviant Talk in Adolescent Friendships: A Step Toward Measuring a Pathogenic Attractor Process
Bibliographic record
Abstract
Abstract Deviant talk in adolescent friendships has been previously found to predict escalations in substance use, delinquency, and violence. The current paper extends past work on deviant talk by examining its dynamic, self‐organizing properties. From the direct observations of peer interactions, a simple measure was developed that indicated whether, as an interaction unfolded, deviant talk bouts became longer in duration (indicating an attractor state). Participants included 102 high‐risk adolescents and their friends. A time‐series of the duration of each successive deviant talk bout over the course of an interaction was created for all dyads. Slope values were derived from the time‐series and used as an index of attractor strength. As hypothesized, the attractor index predicted serious authority conflict (arrests, school expulsion) and drug abuse three years later, after controlling for prior problem behavior, family coercion and deviant peer associations. The findings suggest that the process by which adolescents become increasingly absorbed in deviant talk is an important underlying mechanism in the development of serious antisocial behavior.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".