Giftedness and academic success in college and university
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Much of the work on predicting academic success in postsecondary education has focused on the impact of various cognitive abilities, although in recent years there has been increased attention to the role played by emotional and social competency (also called emotional intelligence (EI)). Previous work on the link between EI and giftedness is reviewed, particularly factors connected to the successful transition to postsecondary education. Data are presented from a sample of 171 exceptionally high-achieving secondary students (high school grade-point average of 90% or better) who completed a measure of trait EI at the start of postsecondary studies and who had their academic progress tracked over the next 6 years. High-achieving secondary students who completed an undergraduate degree scored significantly higher on a number of EI dimensions compared to the secondary students who dropped out. Results are discussed in the context of the importance of EI in the successful transition from secondary to postsecondary education.
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.
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 | 0.000 | 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) | 0.002 | 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