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Record W2031576870 · doi:10.3138/cmlr.58.3.427

Comprehension-Based Learning: The Limits of ‘Do It Yourself’

2002· article· en· W2031576870 on OpenAlexfundvenueno aff
Patsy M. Lightbown, Randall Halter, Joanna White, Marlise Horst

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2002
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsListening comprehensionReading comprehensionComprehensionMathematics educationPsychologyEnglish languageActive listeningReading (process)PedagogyComputer scienceLinguisticsCommunication

Abstract

fetched live from OpenAlex

In previous publications, the authors reported on the English skills of students who had learned ESL in an experimental comprehension-based program. The performance of grade 4 and 5 students with two or three years of reading and listening was compared to that of students with three years of audio-lingual instruction. On most measures, the students in the comprehension-based program performed as well as or better than the comparison group (Lightbown 1992a; Lightbown & Halter, 1989). In the present paper, the authors report on a follow-up study carried out when students were in grade 8. After six years of an essentially comprehension-based program in ESL, they performed as well as comparison groups of students on measures of comprehension and some measures of oral production but not on measures of written production. This paper includes a description of some particular gaps in the written language of students in the comprehension-based program, includes a follow-up study with secondary school students who had been involved in an experimental program for learning English as a second language (ESL) in primary school, and concludes with a discussion of the need for pedagogical guidance for the development of writing skills.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.277
Teacher spread0.242 · 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 designNot applicable
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

Citations124
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicReading and Literacy DevelopmentFrench-language works237,207