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The Right to Higher Education

2021· book· en· W4205882795 on OpenAlexaff
Christopher Martin

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAutonomyPrivilege (computing)PoliticsEconomic JusticePublic relationsPolitical scienceHigher educationInstitutionSociologyPublic administrationLaw and economicsLaw

Abstract

fetched live from OpenAlex

Abstract Is higher education a right, or a privilege? The author argues that all citizens in a free and open society should have an unconditional right to higher education. Such an education should be costless for the individual and open to everyone regardless of talent. A readiness and willingness to learn should be the only qualification. It should offer opportunities that benefit citizens with different interests and goals in life. And it should aim, as its foundational moral purpose, to help citizens from all walks of life live better, freer lives. Using concepts and ideas from liberal political philosophy, the author argues that access to educational goods and services is something to which all citizens have a right over a full life. Such goods, it is argued, play a key role in helping citizens realize self-determined goals. Higher education should therefore be understood as a basic social institution responsible for ensuring that all citizens can access such “autonomy-supporting” goods. The book examines the implications of this justification of the right to higher education for questions of educational justice, political authority, distributive justice, civic education, and personal autonomy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0270.009

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 head0.041
GPT teacher head0.405
Teacher spread0.365 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations32
Published2021
Admission routes1
Has abstractyes

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Same topicLegal Education and Practice InnovationsFrench-language works237,207