Bibliographic record
Abstract
186À187 provision, 144 at upper secondary level, 156 Akademikersteuer.See Graduate taxes American model of financial aid, 200 Anti-globalist movements, 190À191 Anxiety, 212 debt, 212 graduate labour market, 91À92 Aptitude tests, 245 Articulation arrangements, 111 Audit society, 62 Australian Government, 224, 226, 228, 229, 234À235 Australian HE, student tuition fees in, 225 income-contingent loans, 232À235 personal troubles, 223À225 tuition fees as public issue, 229À232 Australian Labor Government, 231 Bachelor-Master-courses, 168 'Back-to-school' injunctions, 193 Balancing supply and demand in Ireland funding regime and student support, 122À127 HE access, 127À131 policy debates, 134À137 proportion of undergraduate students, 126 structure of Irish higher education, 121À122 253 trends in HE participation, 131À134 Balancing work and study, 217À218 Berufsschule, 167, 168 Bildungsexpansion, 164 Bildungsgutschein.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.745 | 0.750 |
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 source (direct Gemma or distilled Codex), 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".