MétaCan
Menu
Back to cohort
Record W1500425460 · doi:10.31165/nk.2014.64.322

The Irish in American Cinema 1910 – 1930: Recurring Narratives and Characters

2014· article· en· W1500425460 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.

fundA Canadian funder is recorded on the work.
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

VenueNetworking Knowledge Journal of the MeCCSA Postgraduate Network · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
FundersMcGill University
KeywordsIrishMovie theaterNarrativeComedyHistoryCharacter (mathematics)Media studiesEthnic groupServantLiteratureGenealogyArtSociologyArt historyAnthropologyLinguisticsEngineering

Abstract

fetched live from OpenAlex

This paper will consider cinematic depictions of the Irish between 1910 and 1930. American cinema during these years, like those that preceded them, contained a range of stereotypical Irish characters. However, as cinema began to move away from short sketches and produce longer films, more complex plots and refined Irish characters began to appear. The onscreen Irish became vehicles for recurring themes, the majority of which had uplifting narratives. This paper will discuss common character types, such as the Irish cop and domestic servant, and subjects such as the migration narrative, the social reform narrative and the inter-ethnic comedy. It will also briefly consider how Irish depictions in the 1910s and 1920s compared to earlier representations. While the emphasis will be on films viewed at archives, including the University of California, Los Angeles Film and Television Archive, or acquired through private and commercial sellers, the paper will also reflect on some films that are currently considered lost.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.235
Teacher spread0.213 · 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