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Record W4387482493 · doi:10.1515/9780887554261-002

A Note on Languages

2012· book-chapter· en· W4387482493 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Manitoba Press eBooks · 2012
Typebook-chapter
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

a not e on l a nguages Inuit languages are written in a variety of ways.Much of Nunavut has adapted a version of the syllabic system that was first used for the Cree language and later brought north by the Reverend Edmund Peck.The Western dialects of Inuinnaqtun and Inuvialuktun, however, are written in the roman alphabet, while Labrador uses the orthography of the Moravian missionaries.A thorough overview of these variations can be found in Kenn Harper's "Inuit Writing Systems in Nunavut: Issues and Challenges." One of the challenges relevant here is that Inuktitut words written in roman letters are rendered in a range of spellings, and even proper names can vary immensely.Inuktitut also differs quite substantially by dialect, and there is no standardized version of the language in Canada.In discussing texts from different regions, then, I have attempted to preserve the spellings used in the texts themselves.As a result, my spelling of names (such as Ivaluardjuk) or terms (such as unikkaaqtuaq) may vary.I may also at times exhibit a bias for Eastern dialects, as I am most familiar with the language of the Qikiqtaaluk (Baffin) region.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.102
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0130.003

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 head0.061
GPT teacher head0.300
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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