Earning Capacity of Sustainable Education - A Review of Current Perceptions Regarding the Salaries, Under-employment and Over-education of Higher-Education Graduates and their Potential Application in Sustainability Assessments
Why this work is in the frame
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Bibliographic record
Abstract
<p>There is a growing need to understand the economic returns of degrees as a function of a sustainable institution. The empirical data presented in this paper suggests that there is a difference between the economic perception of higher education stakeholders and reality. The data showed that the most important economic metric for a graduate is full-time employment. This metric, although important, is incomplete and does not address other important factors such as starting salaries and under-employment. This indicates a gap between reality and perception considering stakeholders expectation that education should not cost more than of 15% of future salaries and that the debt be repaid in less than ten years. Student’s focusing on full-time employment rather than the holistic economic realities of their educational choices may lead to an unsustainable future which is currently not captured in higher education sustainability assessments.</p>
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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