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Record W1935777987 · doi:10.1111/lasr.12005

The Indirect Influence of Politics on Tort Liability of Public Authorities in English Law

2013· article· en· W1935777987 on OpenAlexaff
Dan Priel

Bibliographic record

VenueLaw & Society Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsYork University
Fundersnot available
KeywordsTortPoliticsLawPolitical scienceLiabilityState (computer science)IdeologyTyingEconomicsLaw and economicsSociology

Abstract

fetched live from OpenAlex

The scope of negligence liability of public authorities in English law has undergone significant changes in the Post-World War II period, first expanding and then, from the mid-1980s, retracting. This article tries to explain why this happened not by focusing, as is common in most commentary on this area of law, on changing doctrinal “tests,” but rather by tying it to changes in the background political ideology. My main contention is that political change has brought about a change in the law, but that it did so by affecting the scope of the political domain, and by implication, also the scope of the legal one. More specifically, I argue that Britain's Post-War consensus on the welfare state has enabled the courts to expand state liability in accordance with emerging notions of the welfare state without seeming to take the law into controversial territory. When Thatcher came to power, the welfare state was no longer in consensus, thus making further development of legal doctrines on welfarist lines appear politically contentious. The courts therefore reverted back to older doctrines that seemed less politically charged in the new political atmosphere of the 1980s.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.039
GPT teacher head0.325
Teacher spread0.287 · 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 designTheoretical or conceptual
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

Citations1
Published2013
Admission routes1
Has abstractyes

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