MétaCan
Menu
Back to cohort
Record W6929929317 · doi:10.5281/zenodo.10497374

Language change and stance in a remote Mennonite community in Canada

2024· book-chapter· en· W6929929317 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typebook-chapter
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)Context (archaeology)Speech communityGermanBritish EnglishLanguage contactFocus (optics)Social change

Abstract

fetched live from OpenAlex

This study investigates Canadian Raising patterns in the Pennsylvania German English speech of nine Old Order Mennonites in southern Ontario with a focus onlinguistic context and stance-taking. Although this community is traditionally isolated and resistant to change, some speakers are now increasingly in contact withthe local English-speaking community and have begun to participate in the ongoing shift towards Canadian Raising, a process that is largely complete in the widerCanadian English speech community. The extent to which linguistic resources areavailable to the speakers and used for social work, such as stances, hinges on theindividual degree of contact with the English community. The speakers deal differently with the new vowel; /aʊ/-raising, imbued with the social meaning of Canadianness, might be adopted or avoided, while /aɪ/-raising, below the speakers’ social awareness, indicates contact with the linguistic resources. The context of thisstudy is perfectly suited for understanding local and translocal dynamics in a dialect contact situation, particularly in relation to stylistic practices in Third Wavesociolinguistics.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.890
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.059
GPT teacher head0.255
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicErythrocyte Function and PathophysiologyFrench-language works237,207