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Record W650803607

The impact of Supreme Court employment law cases : leading lawyers analyze recent decisions and their impact on employment law

2010· book· en· W650803607 on OpenAlex
Jonathan A. Segal

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAspatore eBooks · 2010
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Law and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtLawPrecedentPolitical scienceCertiorariEmployment discriminationLabour lawLaw of the caseCommon lawOriginal jurisdictionCourt of record
DOInot available

Abstract

fetched live from OpenAlex

The Impact of Supreme Court Employment Law Cases provides an authoritative, insiders perspective on influential Supreme Court cases from 2010 and their impact on employment law. Featuring partners from some of the nations leading law firms, these experts analyze developments in the area of employment law through the lens of Supreme Court cases like Conkright v. Frommert, Lewis v. City of Chicago, City of Ontario v. Quon, and New Process Steel v. National Labor Relations Board. These top attorneys discuss the responses of lawyers and their clients to recent changes and introduce new procedures and practices that have been implemented to help better serve clients. These authors also offer their predictions on what lies ahead for employment law in the upcoming year by previewing cases that are set to be decided by the Supreme Court. The different niches represented and the breadth of perspectives presented enable readers to get inside some of the great legal minds of today, as these experienced lawyers offer up their thoughts around the keys to success within this ever-evolving area of law.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.054
GPT teacher head0.304
Teacher spread0.250 · 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