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Record W1952959899

Fear of the “Floodgate of Liability” and Acknowledgment of the Recognisable Psychiatric Damage Into English Law of Tort

2015· article· en· W1952959899 on OpenAlexvenueno aff
Vito Zepinic

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsDamagesLawTortSupreme courtAppealJuryIgnoranceCommon lawLiabilityPsychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

It is well-known that damages to a victim’s psyche can occur due to witnessing or being victim of the traumatic event(s), and this was first recognised in ancient Greece. However, it took centuries for this to be recognised by the common law. It originated within the concept of nervous shock which was first introduced by the Coultas case through negligence in the duty of care. Before the Supreme Court of Victoria (Australia), the jury awarded damages for the shock which, however on a further appeal, the Privy Council held that the damage was too remote. This decision opened a door which was not shut until the present time: the strict relatedness between the physical and psychological injury and the recognition of psychiatric damages for recovery in the absence of physical injury. There is no doubt that the Alcock case has been considered as a “test case” for last two decades which shows all dilemmas and differences in endorsement of psychiatric damages within the English law of tort. This case certainly reflected the scepticism and uncertainty in acknowledging psychological injury and in some court cases, ignorance of medical opinion, or the courts’ concerns about “opening the floodgates” to limitless or unrestricted liability and its ramifications for the insurance industry, or inherent problems of establishing a causative link, or imposing administrative and/or practical difficulties of psychiatric damages to produce a long-term protection to the mental tranquillity.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.335
Teacher spread0.306 · 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 designObservational
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

Citations6
Published2015
Admission routes1
Has abstractyes

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