Academic Productivity and Political Culture: The Challenges of Higher Education Nowadays
Bibliographic record
Abstract
As a result of the new neoliberal education policies, the change in higher education institutions places them on a more competitive and adaptable level, promoting institutional processes of evaluation, planning, accountability and greater intensification of academic work. The articulating axes of political culture are linked to the existence of a subsystem of university government, subject to a process of particular socialization of the exercise of authority that allows their uniqueness within educational institutions, where public policy incentives have a strong capacity to influence the main educational activities and practices of teachers. The existing relationship between academic activity and productivity and its correlation with political culture is analyzed, contemplating subjective aspects and objectives such as beliefs, conceptions, feelings and political values, as well as attitudes, use of language, capacities, behaviors and political practices. Thus, the policy implemented by the education system promotes greater competition among institutions and academics, reshaping the political culture of academics.
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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 | 0.001 | 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 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".