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Record W1483518679 · doi:10.26181/29398181

Seaweed Soup: The Secret (Ingredients) of Roan Inish

2000· article· en· W1483518679 on OpenAlexaboutno aff
Kathryn V. Graham

Bibliographic record

VenueOpen MIND · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMAGIC (telescope)Celtic languagesMythologyIrishArtWelshArt historyNarrativeRealmVisual artsHistoryLiteratureAncient historyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Hailed as a ground-breaking work of "Irish magical realism," John Sayles's recent film The Secret of Roan Inish won wide critical acclaim. The Secret of Roan Inish is the third title under which the Rosalie Fry children's book (on which it was based) has appeared. First published in Britain in 1957 as Child of the Western Isles, it was renamed The Secret of the Ron Mor Skerry for Dutton's American edition of 1959. Behind the changes to the title and the intriguing visual relations between book and film lies another metamorphosis. The best-kept secret of Roan Inish is that the palpably Irish tale became Irish only when John Sayles filmed it. The novel is set on the western coast of Scotland and was written by a Canadian-born woman who lived most of her life in a Welsh cottage. But Sayles' transformative art is entirely true to Fry's spirit and to the shared heritage of these two Celtic countries. Like the film, the novel appropriates, assimilates, displaces and echoes other tex...

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.011
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.040
GPT teacher head0.271
Teacher spread0.231 · 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
GenreOther

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
Published2000
Admission routes1
Has abstractyes

Explore more

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