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Record W7094135760

In Brief

2020· article· W7094135760 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.

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

VenueeYLS (Yale Law School) · 2020
Typearticle
Language
FieldComputer Science
TopicArtificial Intelligence Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHonorCentennialImmigrationTimelineHeadlineSupreme courtRefugeeImmigration law
DOInot available

Abstract

fetched live from OpenAlex

Table of Contents An Update from the Deans: Q & A COVID-19 Special Report Celebrating 50 Years of Experiential Education Kramer Law Clinic Timeline Black Law Students Association Celebrates 50th Anniversary A Message from Associate Dean for Diversity and Inclusion Bryan Adamson (LAW '90) Featured Alumni (Alumni Q&A) John Sopko Serves as Inspector General for Afghanistan Reconstruction Susie Ruth Powell is Centennial Award Winner Jennifer Riedthaler Williams Appointed as Immigration Judge in Cleveland CWRU Law Alumnus Appointed Canada's New Minister of Foreign Affairs New Book by Capricia Penavic Marshall (LAW '90) Ann Brennan Makes $2.5 Million Gift to Support Law Students in Honor of Late Husband, Alumnus David L. Brennan Case Western Reserve Earns Top Spot Again in Ohio Bar Pass Rate 2020 Moot Court Roundup Society of Benchers Faculty Briefs Class Notes In Memoriam Alumni Committees

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.020

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 head0.039
GPT teacher head0.288
Teacher spread0.249 · 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