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Record W1632426827

Modern Mass Media and the Artist's Self-Disintegration in Fergus by Brian Moore

2013· article· en· W1632426827 on OpenAlexvenueaboutno aff
Ala Eddin Sadeq Jrab

Bibliographic record

VenueStudies in literature and language · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHEROPassionDreamIrishPublicityPaintingArtArt historyMass mediaPoetryLiteraturePhilosophyLawPsychology
DOInot available

Abstract

fetched live from OpenAlex

Brian Moore (1921 –1999) was born in Northern Ireland. He immigrated to Canada in 1948, where he was a reporter for the Montreal Gazette. He later moved to settle in the United States. Moore’s fame springs from writing about exiled individuals. Fergus (1970) is one of his poignant novels that focus on delineating the artist –hero struggle with the mass media in self exile in the States .Moore believes that modern mass media can either be a means of creation or a weapon of self- destruction in any artist’s life , whether an actor ,a painter or a writer . In his novel Fergus , he focuses on delineating rather the negative impact of the life of publicity and mass media on the hero , who is a writer of an Irish descent like himself . He adopts the technique of presenting a hallucinatory kind of reality in which the actual world of the hero is inhabited by visiting ghosts of dead people from his past life in Ireland. Moore’s purpose in using this method is to highlight the readers understanding of true nature of the sacrifices that an artist makes for achieving his dream of living a celebrity figure in a place like America. Yet, Fergus’s predicament as an artist in exile is intertwined with Moore’s personal crises in Ireland .The novel becomes a medium for filtering his passion and nostalgia for his parents’ world, despite its stagnation and conflicting realities.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0160.029
Scholarly communication0.0130.006
Open science0.0010.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.275
Teacher spread0.269 · 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
GenreEmpirical

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
Published2013
Admission routes2
Has abstractyes

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Same venueStudies in literature and languageSame topicIrish and British StudiesFrench-language works237,207