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Record W2803495381

Proceedings of Methods XIV : Papers from the Fourteenth International Conference on Methods in Dialectology, 2011

2013· book· en· W2803495381 on OpenAlexaboutno aff
David Heap, Alena Barysevich, Alexandra D’Arcy

Bibliographic record

VenuePeter Lang eBooks · 2013
Typebook
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsDialectologyVariation (astronomy)LinguisticsPhonologySyntaxLanguage changeHistoryEthnic groupSound changeGeographyAnthropologyLibrary scienceSociologyComputer sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This volume of papers from the 14th International Conference on Methods in Dialectology, held at the University of Western Ontario (Canada), 2 to 6 August 2011, brings together recent methodological innovations and current research on the study of dialects and language variation. The research contributions are authored by a range of new and established scholars from different countries working on a number of languages and language varieties. The volume is divided into sections dealing with phonetics and phonology, morphology and syntax, ethnicity and identity, dialect cartography, methods, techniques as well as variation and change.

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)0.025
metaresearch head score (Gemma)0.060
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.101
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.060
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.004
Science and technology studies0.0020.004
Scholarly communication0.0080.005
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.1010.029

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 head0.097
GPT teacher head0.410
Teacher spread0.313 · 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

Citations18
Published2013
Admission routes1
Has abstractyes

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