Gender Correlates on Knowledge, Skills, Competencies Gained From and Impact of a Graduate Degree
Bibliographic record
Abstract
The 2019 Philippine Statistics Authority report on education equality in the Philippines based on CHED data shows that more females were getting advanced degrees than males. This study aimed to determine the gender correlates on knowledge, skills, and competencies (KSC) gained and the impact of a graduate degree on the graduates of a College in Laoag City, Ilocos Norte, Philippines. Specifically, a comparison of the KSC gained, and the impact of their graduate degree on the personal lives and careers of male and female graduates was performed. Findings reveal no significant difference in the KSC gained and the impact of a graduate degree on the male and female graduates, except on interdisciplinary learning, with females being more knowledgeable in this area. In terms of effects, males experienced a higher impact on their graduate degrees than females in most areas of their personal lives and careers. However, statistically, such a difference was not significant. The researcher concluded that interdisciplinary learning is the only gender correlate for KSC and none for the impact of a graduate degree earned at a College in Laoag City, Ilocos Norte, Philippines. It is recommended that this study be replicated with more indicators for KSC and the impact and inclusion of other factors for the revised graduate school curricula.
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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".