Developmental Trajectories of Achievement Goal Orientations During the Middle School Transition
Bibliographic record
Abstract
This longitudinal study builds on research addressing changes in achievement goal orientations (AG) across the transition to middle school. We had two objectives. The first was to identify and describe different development trajectories of AG (mastery, performance-approach, and performance-avoidance) from the last year of elementary school (Grade 6) to the third year of middle school (Grade 9, or Secondary 3). The second was to determine whether these trajectories depend on individual dispositions such as anxiety, depression, aggressiveness, and inattention. A sample of 378 French-speaking students from the province of Quebec and their mothers participated in a 4-year longitudinal study. Results showed three trajectories for mastery goals (High, Moderate, and Moderate-declining) and four trajectories for performance-approach (High, Moderate-declining, Low-increasing, and Low) and performance-avoidance goals (High, High-declining, Moderate, and Low-declining). Individual dispositions in the sixth grade predicted trajectory group membership. Results are discussed in light of their implications for the literature on AG and education.
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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 | 0.003 |
| 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 | 0.000 | 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".