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Record W3113563403 · doi:10.3390/genealogy4040118

‘Bidh mi Cumha mu d’ Dhéibhinn gu Bràth’ [I Shall Grieve for You Forever]: Early Nova Scotian Gaelic Laments

2020· article· en· W3113563403 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGenealogy · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsCape Breton University
Fundersnot available
KeywordsScotsNova scotiaHistoryPoetryGriefCasualLiteratureExtant taxonInquestArtGenealogyPsychologyEthnologyArchaeologyLawPolitical science

Abstract

fetched live from OpenAlex

Gaelic laments played an integral role in the deathways of the Highland Scots of Nova Scotia. These often passionate outpourings of grief served as lasting obituaries for the dead and epitomized the richness and vigour of the Gaelic language. As sincere emotional responses, they gave a poetic and performative dimension to the deaths of clergy and other noted community members, as well as beloved relatives and victims of sudden, unexpected deaths, such as drowning and even murder. A casual scan of Gaelic printed sources from newspapers and anthologies will immediately impress the reader with the prolific number of extant elegies. It is therefore necessary to confine the scope of this article to the earliest examples in Nova Scotia, focusing primarily on the creations of the better known, established poets. Several works by less familiar bards have also been included in this study.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.095
GPT teacher head0.241
Teacher spread0.147 · 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