Personality and student self-handicapping: A cross-validated regression approach
Bibliographic record
Abstract
Researchers have suggested that self-handicapping is a function of personality. According to the Five Factor Model, personality can be understood in terms of openness, conscientiousness, extraversion, agreeableness, and neuroticism. Ross, Canada, and Rausch (2002) found lower conscientiousness predicted higher self-handicapping. However, their study was limited by the use of concurrent data. As a result, the purpose of this study was to 1) replicate the findings of Ross, Canada, and Rausch (2002) in predicting self-handicapping from conscientiousness and neuroticism, and 2) extend on those findings by cross-validating the prediction equation in a longitudinal sample. The results essentially replicated the findings of Ross, Canada, and Rausch (2002), and demonstrated the relationship between personality and self-handicapping tendencies was stable over a one-semester timeframe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.756 | 0.220 |
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; both teacher heads agree on what is shown here.
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".