MétaCan
Menu
Back to cohort
Record W1970536639 · doi:10.3366/cor.2007.2.1.97

The Wenzhou Spoken Corpus

2007· article· en· W1970536639 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

VenueCorpora · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsXPathMarkup languageXMLComputer scienceTranscription (linguistics)Natural language processingInformation retrievalLinguisticsArtificial intelligenceWorld Wide WebXML database

Abstract

fetched live from OpenAlex

The creation of the Wenzhou Spoken Corpus, an online searchable corpus of a modern Chinese dialect, presents a number of challenges that are of interest to the corpus linguistic community. We review issues involved with collection of spoken data, its transcription and markup, as well as the functionality of the search tools. The transcription makes use of Chinese characters as well as IPA symbols for Wenzhou colloquial forms not conventionally represented by characters. XML was adopted as the standard for the basic format of files, with file searches expressed in XPath form. The search tools provide the usual options of restricting searches by age, gender, etc., and yield concordances and tables of collocates. Though the collection of data for the corpus was ‘opportunistic’ in some ways, and so not ideally balanced or representative, it is nevertheless proving to be a valuable tool for corpus-based research on Wenzhou.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.325
Teacher spread0.299 · 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