Attitudes towards Study Effort Response to Higher Grading Standards: Do Gender and Personality Distinctions Matter?
Why this work is in the frame
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Bibliographic record
Abstract
The purpose of this paper is to explore how gender and personality preferences affect student attitudes towardseffort response to higher grading standards.Data collected from 150 economics and business students at a Scandinavian business school reveals that highergrading standards enhance effort and time devoted to learning to a higher degree among male than femalestudents. Furthermore, personality dimensions from Myer-Briggs Type Indicator (MBTI) indicate that studentshaving extrovert, thinking and judging preferences respectively do respond more positively towards a hardergrading practice, compared to those who have introvert, feeling and perceiving preferences, respectively.Further research is needed to see whether these findings are readily generalized, or whether they should beinterpreted in light of Scandinavian culture and business school settings.
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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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 it