ROL DEL SERVICIO DE ORIENTACIÓN EN UNIVERSIDADES DE FRANCIA, EE.UU., CANADÁ, REINO UNIDO Y ESPAÑA
Bibliographic record
Abstract
With the introduction of the new European Higher Education Area (EHEA) university model, Guidance Services in Tertiary Education \nare essential to support students in academic, personal, decision-making aspects and for professional journeys and stays. This study \nwas based on qualitatively analysing the information offered about these services on the web sites of universities in Spain, France, the \nUnited States, Canada and the United Kingdom. For this purpose, a repertory grid was designed, which comprises a general part \n(overview, browser, links, etc.) and a more specific one relating to the field of guidance (future students, family, alumni, etc.). The results \nobtained allow us to know not only the important aspects that must be considered in all University Guidance Services, but also \nhow to construct a Guidance Service Model for Spanish universities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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".