Short- and long-term effects of over-reporting of grades on academic self-concept and achievement.
Bibliographic record
Abstract
This study examined the short-and long-term effects of self-enhancement (i.e., over-reporting of academic grades) on academic self-concept and academic achievement.A total of 916, 719, and 647 students participated in the first, second, and third waves of assessment, respectively (mean age at T1 = 15.6 years).At each assessment, students reported their last mid-term grades and their self-concepts in mathematics, German, English, and French.Actual mid-term grades were obtained from the school administrations.Results showed that selfenhancement was positively associated with self-concept in the short term.However, in the long term, self-enhancement was directly associated with stronger decreases in self-concept and indirectly with stronger decreases in achievement that were linked to inflated selfconcepts.Implications for research and educational practice are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".