A Comparison of ESL Students' Ability in Four Language Modes: Oral Composing, Independent Writing,
Bibliographic record
Abstract
Thirty-nine students (ages 10-14) were drawn from classroomscontainingESLstu-dents in three schools in one Winnipeg school division and comparisons were made for these ethnolinguistic groups-Filipino, Vietnamese, and Chinese. For each of the four language modes- oral composing, independent writing, reading, and retelling- a number oflanguage units were compared: number of words pro-duced, number oft-units produced, average number of words per t-unit, and number of dependent clauses produced. The answers to the following four questions are dis-cussed: I) In terms of language units, how do the modes compare across language groups? 2) How do oral reading miscues compare? 3) How does reading comprehen-sion and listening comprehension compare? SCOPE & OBJECTIVES OF STUDY The purpose of the present study was to compare ecologically valid measurement techniques which took into account both the form and function of language, and which occured within the context of a prag-matic or integrative language assessment paradigm. Such techniques should be suitable for formative and summative evaluation purposes and be applicable to multicultural settings. They should measure power over the living language (Loban 1976). More specifically this study posed the following questions about sub-jects within the largest language and ethnocultural groups- Filipino, Vietnamese, Chinese- within the Manitoba multicultural milieu: a. In terms of common quantitative language units (mean words per t-unit, mean number of dependent clauses, and length of composition) how do the four modes- oral composing (the subject tells a "story" which the adult writes on paper). independent writing, reading and story retelling- compare? b. How do oral reading miscues compare in terms of type and number? c. How does reading comprehension compare to aural comprehension?
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".