MétaCan
Menu
Back to cohort
Record W7059872228

Exemplary damages

2013· other· en· W7059872228 on OpenAlexaboutno aff

Bibliographic record

VenueeSource (Dublin Business School) · 2013
Typeother
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsDoctrineDamagesJurisdictionCriticismHigh CourtCommon law
DOInot available

Abstract

fetched live from OpenAlex

In 1964 the House of Lords delivered a unanimous judgement, the point of which they said, was to clear up an ‘anomaly’ in the law. ‘Exemplary damages’ were the ‘anomaly’ of the law to which the House had referred. Amazing and surprisingly narrow limits were placed on the scope of the doctrine of exemplary damages. Such limits as had not been witnessed previously in any court throughout the common law world. As a result two centuries of authorities were suddenly questionable. Several cases were distinguished. Despite the authority of a unanimous House of Lords the case received devastating criticism throughout the common law world. To this day no other jurisdiction has accepted the decision of Rookes V Barnard. The onslaught of this criticism was led by the Australian High Court and allowed by the Board of the Privy Council in the case of Uren V Fairfax. Such rejection was soon followed by the courts of New Zealand, Canada, Tasmania and Ireland. Should the narrow doctrine of the House of Lords, or the wider doctrine of the Australian High Court be preferred?

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)0.007
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.005
Scholarly communication0.0060.005
Open science0.0030.007
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0450.008

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 head0.006
GPT teacher head0.185
Teacher spread0.179 · 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 designNot applicable
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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueeSource (Dublin Business School)Same topicMagnetic Field Sensors TechniquesFrench-language works237,207