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Record W4390811264 · doi:10.1515/9780887559358-001

Note on Terminology

2021· book-chapter· en· W4390811264 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Manitoba Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsnot available
Fundersnot available
KeywordsTerminologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Note on TerminologyMany Red River Métis people in Manitoba are reclaiming the older term Michif (our endonym, the name we call ourselves), though this is not yet reflected in the literature or in common vernacular outside our communities; therefore, I use this term interchangeably with Métis (except when referring to the Michif language).I utilize the double vowel writing system and the endonyms Anishinaabe (plural: Anishinaabeg; language: Anishinaabemowin), or less frequently Ojibwe, and Nêhiyaw (plural: Nêhiyawak; language: Nêhiyawawin) rather than their exonyms (Saulteaux/Chippewa and Cree, respectively).Just as there are regional and dialectical differences within the Anishinaabe nation (i.e., Saulteaux, Ojibwe, Chippewa), these also exist within the Cree nation (i.e., Nêhiyaw or Ininiw for "Plains Cree," and Omushkeego for "Swampy Cree").Exceptions occur when I reproduce exonyms and the phonetic writing system used in texts that I discuss.The Métis participants in this study all used the term "Cree" (except for one mention of "Nêhiyawak"); therefore, I use this term when discussing participant stories and findings.Moreover, I distinguish between spirituality and religion.I believe the former more accurately describes the spiritual ways of Indigenous peoples, and the latter connotes an institutionalized approach to faith with a heavier emphasis on dogma and hierarchy.While dogma and hierarchy may be present within some Indigenous spiritual practices, they are not defining characteristics as they are within religion.

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 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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.986
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 studies0.0000.001
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 head0.074
GPT teacher head0.209
Teacher spread0.135 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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