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Record W4281760313 · doi:10.1215/01636545-9566146

Undocumented Irish Need Apply

2022· article· en· W4281760313 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

VenueRadical History Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishImmigrationMulticulturalismPolitical scienceRhetoricCivil rightsImmigration reformLawLatin AmericansImmigration policy

Abstract

fetched live from OpenAlex

Abstract In the late 1980s, amid immigration reform in the United States, legislators and lobbyists secured generous visa allotments for Irish immigrants, whose path to legal residency in the United States narrowed after the 1965 Hart-Celler Act abolished the national origins quota system. Claiming that the new law discriminated against Europeans, Irish advocates framed their campaign as an effort to diversify the post-1965 immigrant pool, which was predominantly Asian and Latin American. By examining the rhetoric deployed in congressional hearings and media appearances, this article considers how groups like the Irish negotiated the terms of their whiteness in the post–civil rights era. It also addresses the global dimensions of this case study, including Irish lobbyists’ coalition with other (nonwhite) immigrant groups, concurrent immigration reform in Australia and Canada, the effect of the Northern Irish civil war and US-Irish diplomatic relations, and its legacies in a newly multicultural contemporary Ireland.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.222
Threshold uncertainty score0.990

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.035
GPT teacher head0.305
Teacher spread0.270 · 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