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Record W2121846753 · doi:10.1017/s0272263100222067

<b>THE POWER OF BABEL: TEACHING AND LEARNING IN MULTILINGUALCLASSROOMS.</b><i>Viv Edwards</i>. Stoke-on-Trent, UK: Trentham Books, 1998.Pp. 88. £11.95 paper.

2000· article· en· W2121846753 on OpenAlexaboutno aff
Robert Bayley

Bibliographic record

VenueStudies in Second Language Acquisition · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismMainstreamImmigrationCensusSociologyBiculturalismPedagogyPower (physics)Mathematics educationNeuroscience of multilingualismPsychologyPolitical sciencePopulationDemographyLaw

Abstract

fetched live from OpenAlex

As a result of large-scale migrations from the less developed to the more developed countries, the multilingual, multicultural school is becoming a reality, not only in cities with traditionally large immigrant populations such as New York, Los Angeles, and Toronto, but throughout North America and Western Europe. Indeed, the 1990 U.S. Census shows that one in every seven children between the ages of 5 and 17 comes from a home where a language other than English is spoken. These major demographic changes have left many teachers and other school personnel unprepared to deal with the new realities of the multilingual, multicultural classroom. Edwards' brief volume is directed to mainstream classroom teachers who, if current trends continue as expected, will spend much of their careers in even more linguistically and culturally diverse schools than exist currently. Edwards' intent is to counter widespread myths about second language learning and bilingualism, and to assist teachers maximizing the rich educational resource that the multicultural, multilingual school represents.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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.

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
Published2000
Admission routes1
Has abstractyes

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