Worries About Middle School Transition and Subsequent Adjustment
Bibliographic record
Abstract
This longitudinal study had three objectives: (a) to identify different profiles of second-year middle school students (Grade 8) in terms of academic, emotional, and social adjustment; (b) to test the contribution of worries at the end of Grade 6 to distinguish these profiles; and (c) to examine the moderating effect of mastery (MG) and performance goal (PG) structures in language arts class (Grade 7). A total of 342 mother-adolescent dyads participated in the study. Cluster analyses revealed three adjustment profiles: a well-adjusted group (WA), a socioemotionally adjusted group (SEA), and a socially adjusted group (SA). Hierarchical multinomial regression analyses showed that students who expressed worries had a lower probability of being in the WA. However, students who had a teacher who emphasized MG had a greater probability of being in the WA. Finally, worries about peers and teachers lowered the probability of being in the WA for students exposed to PG. Results are discussed in light of their implications for the literature on student adjustment, the elementary-to-middle school transition, and classroom goal structure.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".