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Record W2887206040 · doi:10.3390/genealogy2030029

Inscribing Ethnicity: A Preliminary Analysis of Gaelic Headstone Inscriptions in Eastern Nova Scotia and Cape Breton

2018· article· en· W2887206040 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGenealogy · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsSt. Francis Xavier University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNova scotiaScotsCapeEthnic groupHistoryImmigrationEthnologyGenealogyGeographyArchaeologyAnthropologyArtSociologyLiterature

Abstract

fetched live from OpenAlex

Focusing on the verbal rather than the visual elements of early and more modern headstones in eastern Nova Scotia and Cape Breton, this essay will comment on a selection of Gaelic headstone inscriptions, highlighting such elements as word choice (whether secular or religious), cemetery location, time period, and the deceased’s background. Despite the striking paucity of Gaelic examples, it is our objective to discuss why Gaelic had a limited presence in Nova Scotia’s pioneer Scottish immigrant cemeteries and to demonstrate how these cemeteries were contested sites, which mirrored ongoing tensions between assimilation and cultural retention. In sum, this article will assess the importance of cemeteries as material articulations of language use and language maintenance among Nova Scotia’s diasporic Scots, set against the wider background of their struggles, aspirations, and shared values.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.269
Teacher spread0.205 · 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