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Record W2260376627 · doi:10.1017/s0954394510000062

Boston (r): Neighbo(r)s nea(r) and fa(r)

2010· article· en· W2260376627 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage Variation and Change · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnic groupLinguisticsSociologyPsychologyGeographyHistoryDemographyAnthropology

Abstract

fetched live from OpenAlex

Abstract The influence of linguistic and social factors on (r) in Boston and two New Hampshire towns is described. The preceding vowel and geographic, ethnic, and age-related differences were found to have strong effects. In comparison to Bostonians, New Hampshire speakers exhibit a higher rate of rhoticity, and fewer factors constrain their variability. Younger speakers are more rhotic than older speakers, as are more educated speakers and those in higher linguistic marketplace positions. This study demonstrates that these patterns fit the transmission (within Boston) and diffusion (to New Hampshire) framework (Labov, 2007) only with the addition of accommodation theory (Niedzielski & Giles, 1996), which connects our linguistic findings to evidence that many New Hampshire residents do not identify with Boston. The effects on (r) in other studies are compared to determine which effects are particular to individual communities (nonuniversal) and which occur across all communities examined. The nonuniversal effects are therefore available as measures of contact-induced change. This study introduces a method for quantitatively comparing the amount of change between communities.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.996

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.307
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