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Record W2151815780 · doi:10.2989/16073614.2010.519105

‘Look at the balloon blow up’: Student teacher-talk in linguistically diverse Foundation Phase classrooms

2010· article· en· W2151815780 on OpenAlexaff
Rinelle Evans, Ailie Cleghorn

Bibliographic record

VenueSouthern African Linguistics and Applied Language Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsConcordia University
Fundersnot available
KeywordsFoundation (evidence)Phase (matter)BalloonMathematics educationPsychologyPedagogyPhysicsPolitical scienceMedicineCardiologyLawQuantum mechanics

Abstract

fetched live from OpenAlex

This article provides vignettes from teaching practice site visits in linguistically diverse South African Foundation Phase classrooms. The purpose is to point to the complexity of encounters between student teachers and learners when neither are first language speakers of English, the instructional language. The vignettes presented here suggest the potential negative social and pedagogical consequences for learners, in part due to teachers’ lack of awareness that language can create a barrier to learning. In noting instances of instructional dissonance, the article concludes by underlining the need for teacher education to include more content relating to the critical role of language in learning as well as to the importance of recognising the rich linguistic and cultural repertoire that learners bring to the multilingual classroom. In addition, teacher graduates’ proficiency in the language of instruction cannot be assumed to be adequate; this requires focused attention in policy documents and in teacher education programmes.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0300.013
Scholarly communication0.0070.004
Open science0.0020.010
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.039
GPT teacher head0.423
Teacher spread0.384 · 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 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

Citations22
Published2010
Admission routes1
Has abstractyes

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