Bibliographic record
Abstract
The chapter focuses on policies which are implemented in Greece for diverse students, especially for two main groups: children coming from different national backgrounds and children with special needs. It addresses the challenges that are caused by financial crisis and presents the introduction of policies; Greek society and education system are still a long way off being characterised as inclusive and diverse. In the twentieth century, Greece experienced waves of migration, mainly to countries such as the United States, Great Britain, Germany, Sweden, Canada and Australia. The rapid changes in socio-demographics of Greece created a dichotomy in Greek society: the population who were nationals and the &s;others&s;, who were immigrants or repatriates. According to Hellenic Statistical Authority&s;s official data, 206,000 migrant children in Greece attend pre-primary, primary and secondary education. The recent economic crisis in Greece has influenced relations between the native population and large number of national and cultural migrants and religious and ethnic minorities residing in the country.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.016 | 0.026 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.015 |
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".