Input and Output Indicators of the Higher Education Institutions for Quality of Life in Portugal
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
Higher education institutions (HEIs) contribute substantially to the quality of life (QoL) of the regions where they operate and to the progress and sustainable development of a country. This research intends to have an innovative approach in the study of the HEIs’ impact on the QoL of regions by taking into consideration both qualitative and quantitative indicators. This study aims to identify, collect and systematize indicators that can be used to measure the impact of HEIs on QoL: on the demand-side based on expenditure (inputs) and the knowledge-based supply side (outputs). For accomplishing this, the authors carried out a literature review, an analysis of available statistical data in Portugal and interviews for the analysis and consolidation of indicators. The results will facilitate the measurement of the HEIs’ impact on QoL and regions and allow the elaboration of a matrix of reliable indicators, which will hopefully assist in the definition of new higher education policies.
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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 | 0.000 | 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) | 0.000 | 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