THE EDUCATION AS A LEVER FOR SOCIAL CHANGE: THE HISTORY OF REFORMS AND INEQUALITIES IN MODERN GREECE
Bibliographic record
Abstract
Education serves as a cornerstone of social structure, influencing individual development and the collective consciousness of society. This paper focuses on the significance of education in promoting social values, enhancing social mobility, and shaping political culture in modern Greece up to the present day. Through a critical review of existing literature, it analyses the historical reforms of the education system and their impact on social reproduction and inequalities. The study reveals that educational policies and reforms are not isolated from broader political and social conditions. Rather, they are a response to the challenges that the education system faces in its efforts to adapt to ever-changing social needs. There is an urgent need for educational policies that reflect the principles of social justice and equality to build a truly democratic society. Moreover, this work aims to analyze the impact of social inequalities on access to and quality of education, highlighting deficiencies arising from structural inequalities and the need for programs that enhance social cohesion. In this context, innovative approaches to education are proposed, which would allow for overcoming historical inequalities and promoting social change. Finally, the critical importance of education as a driving force for social change is emphasized. It is concluded that ongoing reforms must incorporate a holistic approach that promotes equality and access for all. Only then can a sustainable and just future for Greek society be ensured.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".