MétaCan
Menu
Back to cohort
Record W2055508223 · doi:10.7202/014041ar

The Forgotten Irish?

2007· article· en· W2055508223 on OpenAlexvenueaboutno aff
Johanne Devlin Trew

Bibliographic record

VenueEthnologies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSpatial and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCeltic TigerIrishNarrativeContext (archaeology)Identity (music)TourismPoliticsCeltic languagesHistoryMedia studiesDanceGovernment (linguistics)EthnologyGenealogySociologyPolitical scienceVisual artsArchaeologyAestheticsArtLiteratureLaw

Abstract

fetched live from OpenAlex

The Irish in Newfoundland have developed their culture and identity over the past 300 years in the context of the island’s changing political status from independent territory, to British colony, and to Canadian province (since 1949). Newfoundland song, dance and dialect all display evident Irish features and have played an important role in the marketing of the province as a tourist destination. Recent provincial government initiatives to forge contacts with Celtic Tiger Ireland and thus revive this powerfully “imagined” Atlantic network have also contributed to the notion of the “Irishness” of Newfoundland culture. The narrative of Newfoundland as an Irish place, however, has always been (and continues to be) contested; this is most evident in a local discourse of space and place that is grounded in two predominant narratives of the Newfoundland nation: Republican and Confederate. The author illustrates how this contested spatial discourse has recently played out over the disputed terrain of theThe Rooms, the new home of Newfoundland’s provincial museum, art gallery and archives.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.615
Threshold uncertainty score0.774

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.018
Scholarly communication0.0130.005
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.053
GPT teacher head0.359
Teacher spread0.306 · 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 designQualitative
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

Citations8
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueEthnologiesSame topicSpatial and Cultural StudiesFrench-language works237,207