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Record W7135900430

Expert potential of academic movements

2013· dissertation· cs· W7135900430 on OpenAlexaboutno aff
Vojtěch Vrobel

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2013
Typedissertation
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)CzechLegislatureWork (physics)Public sectorHigher education
DOInot available

Abstract

fetched live from OpenAlex

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...

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.370
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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