Interpreting the Impact of the Ontario Secondary School Literacy Test on Second Language Students Within an Argument-Based Validation Framework
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Bibliographic record
Abstract
AbstractThis article draws on Kane's (2006) argument-based validation framework to synthesize evidence derived from a large-scale, mixed-method explanatory study on the impact of the Ontario Secondary School Literacy Test (OSSLT) on second language (L2) students. The purpose of the OSSLT is to ensure that students have acquired the essential reading and writing skills that apply to all subject areas in the Ontario provincial curriculum up to the end of Grade 9 in Canada. Kane's framework is used both to specify the proposed interpretations and uses of the OSSLT results by laying out the network of inferences and assumptions involved in this test and to elaborate whether the proposed interpretations and uses have been supported by empirical evidence from the study. Findings from the study show that the results of the OSSLT, a test constructed and normed for first language English speakers, should be interpreted differently and with caution for second language students. By synthesizing the empirical evidence within an argument-based validation framework, we can fully understand the impact of the OSSLT in relation to test design, test accommodation, and literacy classroom practices in the Canadian context. Notes1 This study was supported by a standard research grant from the Social Sciences and Humanities Research Council (SSHRC) of Canada.2 In this article we use L2 students in a broad sense. According to the recent Ontario Ministry of Education document, English as a Second Language (ESL) / English Literacy Development (ELD) students are referred to as English Language Learners (ELLs). A detailed definition of the six categories of ELLs can be found in Ontario Ministry of Education (Citation2007).3 Facets of the OSSLT item formats, text types, skills and strategies of reading and the four writing tasks are italicized in the paper as they are defined by EQAO.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it