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Record W2559007651

Early-Modern European and Indigenous Linguistic Influences on New Brunswick Place Names

2016· article· en· W2559007651 on OpenAlex
Lauren Beck

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

VenueJournal of New Brunswick Studies / Revue d’études sur le Nouveau-Brunswick · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMount Allison University
Fundersnot available
KeywordsToponymyContext (archaeology)Variety (cybernetics)LinguisticsIndigenousRelevance (law)NarrativeHistoryTransition (genetics)Period (music)Political scienceComputer scienceArtArchaeologyArtificial intelligenceAestheticsLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This article documents the emergence of the New Brunswick place names Miramichi, Musquash, and Shemogue in the early-modern period (1534–1800). Using early maps and travel narratives in which these places are noted by Europeans for the first time, it examines the orthographical variety for each place name and traces their development over the centuries, mapping the evolution and diffusion of these names in light of the linguistic influences exerted by Maliseet, Mi’kmaq, French, and English speakers, as well as the transition of a name from one language to another. The historical and linguistic findings from this research are then linked to their sociopolitical relevance in a contemporary context and a language-based system of toponymic classification is proposed.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.265
Teacher spread0.235 · 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