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Record W1206059035

Gaelic books as cultural icons: the maintenance of cultural links between the Highlands and the West Indies.

2013· article· en· W1206059035 on OpenAlexaboutno aff
S.M. Kidd

Bibliographic record

VenueENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationWest indiesDiasporaHistoryDestinationsEthnologyIdentity (music)GenealogyGeographyTourismArchaeologyGender studiesSociologyArt
DOInot available

Abstract

fetched live from OpenAlex

The study of émigré Highlanders, their language and their culture, this far, has been largely focused on the thousands of emigrants who settled in North America, particularly Canada, from the later decades of the eighteenth century to the mid-nineteenth century, and to a lesser degree on those who emigrated to Australia in the middle decades of the nineteenth century. The emigration of Gaelic-speakers, whether temporary or permanent, to other destinations, such as the West Indies, has however been almost entirely overlooked, in part due to the relative paucity of Gaelic sources relating to them, but also due to the relatively small number of emigrants involved as compared with mass emigrations to the aforementioned countries. This article draws on some of the limited evidence available which is specific to Gaels and the West Indies in the period c.1750–1830, examining both perceptions of the islands in Gaelic literature and the way in which subscribing to Gaelic books published in Scotland offered Gaels in the West Indies a tangible opportunity to retain links with their native culture. It is argued that the Gaelic books enabled this culturally distinct group of emigrants to re-affirm their identity as Gaels while simultaneously making an important financial contribution to Gaelic publishing.

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: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.009
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.231
Teacher spread0.209 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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