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Record W2991746385 · doi:10.3138/utlj.69.s1.002

The disappointing remedy? Damages as a remedy for violations of human rights

2019· article· en· W2991746385 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUniversity of Toronto Law Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsThe Wilson CentreUniversity of Toronto
Fundersnot available
KeywordsDamagesPolitical sciencePunitive damagesTortLawHuman rightsCommon lawProportionality (law)DisappointmentDiscretionLaw and economicsEconomicsLiabilityPsychology

Abstract

fetched live from OpenAlex

After initial optimism, damages have become a disappointing remedy for human rights violations in Canada, New Zealand, South Africa, the United Kingdom, and the United States. Part I of this article relates this disappointment to the modest nature of most awards and the continued impact of qualified and absolute immunities. Part II argues that the answer is not, as some have suggested, to return to tort principles but, rather, to look to public law principles, including international law principles of state responsibility. This allows damages to be placed in the perspective of the state’s obligations to comply with human rights and the availability of alternative and sometimes stronger remedies. A public law approach also allows principles of proportionality to discipline and structure the exercise of remedial discretion. Part III situates damages within a two-track approach to remedies in both domestic and supranational law. Under this approach, courts will play the dominant role in providing remedies including damages to recognize past violations but play a more dialogic role with respect to encouraging states to prevent similar violations in the future.

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.

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 categoriesScience and technology studies
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 score0.956
Threshold uncertainty score0.999

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 studies0.0030.000
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 head0.018
GPT teacher head0.300
Teacher spread0.281 · 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