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Record W1495708875

Vindicatory approach to the award of constitutional and public law damages : contemporary Commonwealth developments

2012· article· en· W1495708875 on OpenAlexaboutno aff
Chuks Okpaluba

Bibliographic record

VenueComparative and International Law Journal of Southern Africa · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsLawSupreme courtAppealDamagesCommonwealthPlaintiffPolitical scienceJurisdictionHigh CourtCharterCommon lawConstitution
DOInot available

Abstract

fetched live from OpenAlex

In order to provide the missing link in the constitutional damages formulation by Lord Diplock in Maharaj v Attorney General of Trinidad and Tobago (No 2) 1979 AC 385 and its attendant practical difficulties of quantifying what the plaintiff will receive in money terms, the Privy Council recently came up with the vindicatory approach in Attorney General of Trinidad and Tobago v Ramanoop 2005 2 WLR 1324. The background to the development of this approach is unarguably traceable to the earlier 'right-centred/value-laden' approach of New Zealand Court of Appeal in the interpretation and application of the New Zealand Bill of Rights Act and the criticisms of the Diplock formula by the Court of Appeal of Trinidad and Tobago. Although the vindicatory approach informs the award of constitutional damages by the Supreme Court of Canada and the Constitutional Court of South Africa in the interpretation of the Canadian Charter and the South African Bill of Rights respectively, the Supreme Court of the United Kingdom has denied its applicability in English law in the case of Lumba v Secretary of State for the Home Department 2011 2 WLR 671 (UKSC). This article maintains that the attitude of the UK Supreme Court smacks of its predecessor's approach to the award of public law damages in the English jurisdiction generally, contrary to the developments elsewhere in the Commonwealth.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.402

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 studies0.0000.001
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 head0.157
GPT teacher head0.350
Teacher spread0.193 · 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 designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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