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Record W2563800139 · doi:10.18806/tesl.v33i2.1238

CELBAN: A 10-Year Retrospective Catherine Lewis & Blanche Kingdon

2016· article· en· W2563800139 on OpenAlex
Catherine Lewis, Blanche Kingdon

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTESL Canada Journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsResearch Manitoba
Fundersnot available
KeywordsValuation (finance)Language assessmentHumanitiesSociologyPsychologyPedagogyArtBusiness

Abstract

fetched live from OpenAlex

This article provides a 10-year review by the test developers of the Canadian English Language Benchmark Assessment for Nurses (CELBAN™). From 2004 to 2014, the development, implementation, national administration, and operations of CELBAN and CELBAN-related products and services were the responsibility of the test developers and team at the Canadian English Language Assessment Services (CELAS) Centre at Red River College, Winnipeg, Manitoba. The CELAS Centre team experienced both challenges and opportunities during this 10-year period. As CELBAN expands, and in light of its current profile as a high stakes language assessment tool, a time for reflection and review is warranted. This retrospective review of CELBAN provides an overview of its history, administration, operations, and growth, as well as challenges experienced and lessons learned by the CELAS Centre team. Further research and development ideas are also posited by the CELBAN test developers. Cet article présente un examen décennal par les auteurs du CELBAN (Canadian English Language Benchmark Assessment for Nurses), l’évaluation de compétence linguistique pour infirmiers et infirmières. De 2004 à 2014, les auteurs du test et l’équipe au centre canadien des services d’évaluation de compétence linguistique en anglais (CELAS) situé au Red River College, à Winnipeg, au Manitoba, étaient responsables du développement, de la mise en œuvre, de l’administration à l’échelle nationale et des activités du CELBAN, ainsi que des produits et des services qui en découlent. Pendant ces dix ans, l’équipe du centre CELAS a affronté des défis et fait face à de nouvelles occasions. Compte tenu de la croissance du CELBAN et de son profil actuel comme outil d’évaluation linguistique à enjeux importants, une période de réflexion et de révision se justifie. Cet examen rétrospectif du CELBAN offre un aperçu de son histoire en évoquant son administration, ses activités, sa croissance, ainsi que les dé s affrontés et les leçons apprises par l’équipe du centre CELAS. Les auteurs du test proposent de nouvelles pistes de recherche et des idées de développement.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0650.000

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 head0.053
GPT teacher head0.381
Teacher spread0.328 · 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