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Record W2886929459 · doi:10.21427/d7jb0m

Landscapes of the Irish Language: Discursive Constructions of Authenticity in the Irish Diaspora

2016· article· en· W2886929459 on OpenAlexaboutno aff
Jill Vaughan

Bibliographic record

VenueArrow - TU Dublin (Technological University Dublin) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
FundersUniversity of Melbourne
KeywordsIrishDiasporaGlobeHeritage languageMinority languageSociologyMedia studiesGender studiesGeographyHistoryGenealogyLinguisticsPsychology

Abstract

fetched live from OpenAlex

Almost 2 million people in the North and South of Ireland identify as Irish speakers and an estimated 70 million around the globe can claim Irish heritage. While Irish ancestry may be distant for many, the Irish language is active in numerous locations in the diaspora, as documented in research profiling communities across the globe (e.g. Callahan, 1994; Garland 2008; Giles 2016; Kallen 1984, 1994; Noone, 2012a; Ó hEadhra, 1998;Ó Conchubhair 2008; Walsh & NíDhúda 2015 inter alia) and evidenced by the existence of many cultural and language groups. Census figures indicate that at least25,000 people currently speak the language in Canada, the United States and Australia alone (Statistics Canada, 2013; United States Census Bureau, 2015; Australian Bureau of Statistics, 2012), yet very few in-depth general accounts of Irish-language use in the diaspora exist. Linguistic practices within Irish communities worldwide vary widely with regard to Irish-language use and language ideologies, with each community subject to distinct concerns, histories and discourses. As such, each has distinct possibilities for creating social and cultural meaning, possibilities that are fundamentally shaped by the socio-cultural and politico-historical contexts within which the Irish language has existed in the last 200 years. This paper investigates how the Irish language is recruited in constructions of cultural authenticity in three sites in the Irish diaspora: Boston, U.S.; Melbourne, Australia; and St. John’s, Newfoundland, Canada. Research is based on open-ended qualitative interviews with 41 learners and speakers regarding the Irish language and their own language practices, and in extensive participant observation of cultural and language-related activities in each site. Thematic content analysis of interview data provides the basis for ethnographic descriptions of each site. A Foucauldian understanding of discourse (e.g. Pennycook, 1994; Foucault, 1981, 1972) affords the identification and delineation of predominant discourses within which Irish-language use is implicated as a meaningful social act, and that are enacted or actively resisted within and across communities, as well as key subject positions made available within these discourses. This approach provides the basis for an exploration of (i) the processes of authenticating a cultural practice within discourse; (ii) how such processes shape the changing configurations of who is included and who is excluded within dominant politico-cultural discourses; and (iii) the various formations of community that exist within and across the diaspora space. The paper shows that the role of the Irish language in authenticating Irish cultural identity is subject to reworkings across time and space, as exemplified in the variety of local meanings it has taken on across the three diaspora sites featured.

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)0.010
metaresearch head score (Gemma)0.010
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: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0250.056
Scholarly communication0.0190.011
Open science0.0030.021
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.240
Teacher spread0.225 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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