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Record W1841468733 · doi:10.5040/9781472564214

Exploring Social Rights : Between Theory and Practice

2007· book· en· W1841468733 on OpenAlexaboutno aff

Bibliographic record

VenueHart Publishing eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsFundamental rightsSocial rightsInternational human rights lawRight to propertyPolitical scienceLinguistic rightsReservation of rightsSocial philosophyRights of NatureSocial changeLawSociologyLaw and economics

Abstract

fetched live from OpenAlex

Exploring Social Rights looks into the theoretical and practical implications of social rights. The book is organised in five parts. Part I considers theoretical aspects of social rights, and looks into their place within political and legal theory and within the human rights tradition; Part II looks at the status of social rights in international law, with reference to the challenge of globalisation and to the significance of specific regional regulation (such as the European System); Part III includes discussions of various legal systems which are of special interest in this area (Canada, South Africa, India and Israel); Part IV looks at the content of a few central social rights (such as the right to education and the right to health); and Part V discusses the relevance of social rights to distinct social groups (women and people with disabilities). The articles in the book, while using the category of social rights, also challenge the separation of rights into distinct categories and question the division of rights to ‘civil’ vs ‘social’ rights, from a perspective which considers all rights as ‘social’. This book will be of interest to anyone concerned with human rights, the legal protection of social rights and social policy.

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)0.009
metaresearch head score (Gemma)0.010
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 score0.019
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0060.070
Scholarly communication0.0190.024
Open science0.0020.009
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0100.002

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 head0.179
GPT teacher head0.336
Teacher spread0.157 · 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

Citations57
Published2007
Admission routes1
Has abstractyes

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