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Record W4385229965 · doi:10.5788/16--661

The Heart of the Matter: Methodological Challenges in Developing a Contemporary 257-269 Reading Programme for Monolingual Lexicography, from the Perspective of the Dictionary Unit for South African English

2011· article· en· W4385229965 on OpenAlexaboutno aff
Leela Pienaar

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLexicographyPerspective (graphical)Reading (process)LinguisticsUnit (ring theory)SociologyHistoryPsychologyPhilosophyComputer scienceArtificial intelligenceMathematics education

Abstract

fetched live from OpenAlex

<p>Abstract: This article argues the importance of the reading programme as the pivotal issue inthe lexicographic process. It is essentially a practical article which outlines strategies for developingand implementing a reading programme for monolingual lexicography. The arguments are informedby theory, together with an examination of the data-collection procedures followed by theDictionary Unit for South African English (DSAE) and a survey of current practice in major Englishdictionary units around the world, namely the Oxford English Dictionary, the Canadian OxfordDictionary, the Australian National Dictionary Centre and the New Zealand Dictionary Centre.The reading programme for the DSAE is first defined and contextualized within its mission statement.The article then explores the challenges inherent in sampling contemporary written and spokenEnglish in the South African multilingual context. It is intended to inform the DSAE's intakepolicy, in terms of the following critical issues:</p><p>— the definition of South African English,</p><p>— the monitoring and selection of print, oral and electronic sources,</p><p>— the excerpting of citations and relevant bibliographic information, and</p><p>— the recruiting and training of readers.</p><p>These interlinked aspects of the reading programme have crucial implications for the quality andauthority of the monolingual dictionary on historical principles.</p><p>Keywords: READING PROGRAMME, MONOLINGUAL DICTIONARY, HISTORICAL PRINCIPLES, CONTEMPORARY, INTAKE, CITATIONS, STRATEGIES</p><p>Opsomming: Die kern van die saak: Metodologiese uitdagings by die ontwikkelingvan 'n eietydse leesprogram vir eentalige leksikografie, uit dieperspektief van die Dictionary Unit for South African English. Hierdie artikelbepleit die belangrikheid van die leesprogram as die kernsaak in die leksikografiese proses. Dit ishoofsaaklik 'n praktiese artikel wat stategieë vir die ontwikkeling en implementering van 'n leesprogramvir eentalige leksikografie skets. Die argumente word ondersteun deur teorie, saam met 'nondersoek na die dataversamelingsprosedures wat deur die Dictionary Unit for South AfricanEnglish (DSAE) gevolg word en 'n oorsig van die huidige praktyk by belangrike Engelse woordeboekeenhedeoor die hele wêreld, naamlik die Oxford English Dictionary, die Canadian OxfordDictionary, die Australian National Dictionary Centre en die New Zealand Dictionary Centre. Dieleesprogram van die DSAE word eers omskryf en geplaas binne sy missiestelling. Die artikelondersoek dan die uitdagings verbonde aan die toetsing van eietydse geskrewe en gesproke Engelsbinne die Suid-Afrikaanse veeltalige konteks. Dit is bedoel om die DSAE se opnamebeleid te beligbetreffende die volgende kritieke sake:</p><p>— die omskrywing van Suid-Afrikaanse Engels,</p><p>— die kontrole en keuse van gedrukte, gesproke en elektroniese bronne</p><p>,— die ekserpering van sitate en tersaaklike bibliografiese inligting, en</p><p>— die werwing en opleiding van lesers.</p><p>Hierdie verbandhoudende aspekte van die leesprogram het beslissende implikasies vir die gehalteen gesaghebbendheid van die eentalige woordeboek volgens historiese beginsels.</p><p>Sleutelwoorde: LEESPROGRAM, EENTALIGE WOORDEBOEK, HISTORIESE BEGINSELS, EIETYDS, OPNAME, SITATE, STRATEGIE?</p>

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.691
GPT teacher head0.519
Teacher spread0.172 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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
Published2011
Admission routes1
Has abstractyes

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