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Record W3023525942 · doi:10.2478/scp-2019-0005

“Dúthaigh Na Súpanna”: An Insight Into “Souper Territory” from the Folkloric Repertoire of Seán Mac Criomhthain

2019· article· en· W3023525942 on OpenAlexaboutno aff
Seaghan Mac An tSionnaigh

Bibliographic record

VenueStudia Celtica Posnaniensia · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsIrishRepertoireFolkloreContext (archaeology)FamineCovertHistoryQuarter (Canadian coin)GenealogyEthnologySociologyLiteratureArtLinguisticsArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract West Kerry storyteller Seán Mac Criomhthain (1873-1955) was born almost a quarter-century after the Great Irish Famine. Nevertheless, his upbringing occurred in a context which included both overt and covert references to the kinds of sectarian divisions which initially had contributed to the famine, and which later were entrenched by it. Sectarian division in the Irish context expressed itself primarily via denominational attachment, and to a lesser extent, along linguistic lines. Such divisions were explored across the country through traditional lore and through song; and in the specific repertoire of Seán Mac Criomhthain, through the medium of a mellifluous ‘brand’ of Munster Irish for which the Corca Dhuibhne peninsula has since become renowned. This article attempts to describe attitudes to sectarian division in the evidence of Mac Criomhthain’s repertoire. With extensive reference to a composition translated for the first time to English, it will be argued that concerns of immediate social pragmatism are afforded much greater importance than those of denominational or linguistic attachments.

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 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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.208
Teacher spread0.193 · 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 teacher head, not a consensus.

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
Published2019
Admission routes1
Has abstractyes

Explore more

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