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Record W7036483039

Bivens and Ward---Constitutional Remedies in the United States and Canada

2022· article· en· W7036483039 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtJurisprudenceSupreme Court DecisionsFederal lawAction (physics)Common lawState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Despite the killing of an unarmed fifteen-year-old boy by a federal border patrol agent, the U.S. Supreme Court in Hernandez v. Mesa refused to allow a Bivens cause of action to proceed and left an egregious violation of constitutional rights unremedied. The U.S. Supreme Court’s rulings in Ziglar v. Abbasi and Hernandez v. Mesa further limited the Bivens cause of action in such a way that makes successfully suing federal officials for constitutional violations practically impossible. The Supreme Court frequently denies Bivens claims due to the purported availability of alternative remedies. However, the Court’s recent jurisprudence makes clear that these alternative remedies do not need to be as effective as a remedy under Bivens, nor do they even need to be certain to exist. Thus, the supposed availability of alternative remedies in the United States often leaves individuals with no remedy at all. On the other hand, the Supreme Court of Canada’s approach to constitutional remedies, outlined in Vancouver (City) v. Ward, functionally analyzes the availability and adequacy of alternative remedies, which increases a plaintiff’s chance of obtaining effective relief. The U.S. Supreme Court should adopt portions of Canada’s functional approach and consider the absence of alternative remedies an important factor in deciding to extend a Bivens claim to a new context. This will enhance the protection of constitutional rights in the United States and prevent individuals from being left without a remedy after their rights have been violated by a federal official.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.119
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0230.008
Scholarly communication0.0080.001
Open science0.0020.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0100.000

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 head0.016
GPT teacher head0.203
Teacher spread0.187 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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