Grade point average and biographical data in personal resumes: predictors of finding employment
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
This study aimed to examine relationships between graduates' grade point average (GPA), biographical data and success in finding a job in general and a psychology-based job in particular. Two hundred six psychology graduates participated in a two-wave longitudinal study. Biographical data assessed were extracurricular activities, computer and foreign language skills, participation in a growth mindset enrichment programme and in general enrichment programmes, and work experiences. GPA showed significant relationship with success in finding psychology-based job. Participation in growth mindset enrichment programme was related to the success in finding a job in general and in finding a psychology-based job. Work experiences predicted the success in finding a job in general. Extracurricular activities, foreign language skill and participation in general enrichment programmes showed significant relationships with success in finding psychology-based job. Computer skills did not emerge as determinant of finding a job. Practical implications are discussed.
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 | 0.001 | 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 it