Bibliographic record
Abstract
In recent years the whole western world is dealing with economical problems, which, doesn t matter what has caused them, logically causes the reactions of government members and another policy decision-makers in many areas of public policy. Solutions taken or proposed this way aren t always accepted in public with agreement what leads to genesis of activist and protest movements. And few of these movements are focused in this work. Specifically it s a Vzd lání není zbo í! (Education is not a commodity!); ProAlt; Za svobodné vysoké koly (For free colleges) which protested mainly in years 2010-2012 against a contemplated reform of sector of the tertiary education sector in the Czech republic. This reform was represented by two legislative intents of law O vysokých kolách (About colleges) and O finan ní pomoci student m (About financial aid to students). This work researches their Policy analytical capacity while the main sources of thoughts within this area are the works of professor Michael Howlett of Simon Fraser University in Canada. It is an explorative multicase study which is based on semi-structured interviews with eminent members of the mentioned organizations. Except Howlett s works the ideas of Ond ej Císa about activism in central Europe are used here. So this work researches not only how...
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.008 |
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".