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Record W6988149625

Wind from the North: Hul’q’umi’num’ speakers in Saanich

2019· other· en· W6988149625 on OpenAlexfundaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNucleofectionGestational periodTSG101DiafiltrationHyporeflexiaDysgeusiaLiquationFusible alloyProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

Among the First Nations peoples are the Coast Salish tribes that live along the shores of the Salish Sea.The Hul'q'umi'num' and the Sunchathun are members of two of the ten Coast Salish groups and reside on neighboring territories in southwestern Vancouver Island.They speak two different, but closely-related languages.My research studied Hul'q'umi'num' speakers who live among the Sunchathun, posing the question: do these speakers talk like each other or different from each other?My finding is that there is no uniform dialect, but rather each speaker uses a form of Hul'q'umi'num' based on their family connections and personal history.Speakers differed in how much influence Sunchathun had on the way they spoke Hul'q'umi'num'-from none to muchdepending on various factors including where they were raised and whether they could speak Sunchathun.

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)0.000
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: none
Teacher disagreement score0.926
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.013
GPT teacher head0.199
Teacher spread0.186 · 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
Published2019
Admission routes2
Has abstractyes

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