MétaCan
Menu
Back to cohort
Record W7034430910

Students, markets and social justice higher education fee and student support policies in Western Europe and beyond

2014· article· en· W7034430910 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanism, Landscape, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHigher educationSocial justiceAccess to Higher EducationPublic fundingEconomic JusticeHigher education policyVariety (cybernetics)Public policy
DOInot available

Abstract

fetched live from OpenAlex

This volume examines tuition fees as the most prominent and most visible trend among higher education policies that embodies recent neo-liberal trends in the policy area of education. Tuition fee policies and the accompanying provisions for student support illustrate the contemporary tensions between marketisation and social justice. Among the major transformations higher education systems have undergone in the last two decades, the emergence of marketisation, and in particular the introduction of tuition fees, has received a lot of attention. In Europe, these trends seemingly break with a long-dominant representation of higher education as a public good, which has been at the centre of the process of massification of higher education access in most European countries since the 1960s. Against this background, the volume examines recent changes in tuition fee policies in a number of Western European countries, Canada, the USA and China, and investigates the impacts of these changes on access to higher education. There are two main contributions the volume makes: first, it provides an overview of recent reforms in a comparative perspective, including a diverse range of national contexts; second, it elaborates a systematic analysis of tuition fee policies' rationales, instruments and outcomes in terms of access to higher education. The volume argues that tuition fee policies provide fruitful grounds to explore the variety of neo-liberal trends in higher education - that is, how marketisation and concerns regarding social justice are intertwined in contemporary higher education systems.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.322
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicUrbanism, Landscape, and Tourism StudiesFrench-language works237,207