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Record W7024404152

Rhetoric, discourse and the surplus of meaning: innovations in First Nations' language bible translation

2014· dissertation· en· W7024404152 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsOralityRhetorical questionStyle (visual arts)IndigenousTranslation studies
DOInot available

Abstract

fetched live from OpenAlex

Although there has been a noticeable push in recent years to produce contemporary literature to ensure the Cree language remains intact for future generations, Cree Bible translations remain some of the best known and used printed resources in the Cree language. Given the influence that these translations continue to exercise in Cree and Bible translation communities this study imagines a trajectory of future Bible translations into First Nations languages. The study begins with an extensive analysis of past translations into the Cree 'Y' dialect, their production as well as their reception. Chapter 2 contains an in-depth analysis of the history of William Mason's Cree translation into the 'Y' dialect. This supports and informs the development of a new translation method into Canadian indigenous languages in Chapter 3. This method highlights the rhetorical significance of elements of style and orality in the production and reception of Cree texts. In addition to this, it envisions a significant amount of discussion and innovation between Bible translators and Cree linguists surrounding the theories and practices that have guided Bible Translation thus far.

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)0.018
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0170.062
Scholarly communication0.0140.009
Open science0.0010.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.301
Teacher spread0.284 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

Explore more

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