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Record W1996435010 · doi:10.1080/09695940701272773

Did we take the same test? Differing accounts of the Ontario Secondary School Literacy Test by first and second language test‐takers

2007· article· en· W1996435010 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAssessment in Education Principles Policy and Practice · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsQueen's UniversityCarleton University
Fundersnot available
KeywordsTest (biology)Graduation (instrument)PsychologyContext (archaeology)Construct (python library)LiteracyConstruct validityMathematics educationFidelityTest scoreStandardized testPedagogyDevelopmental psychologyComputer sciencePsychometricsMathematics

Abstract

fetched live from OpenAlex

Within the context of increasing numbers of second language (L2) learners in Canadian schools and expanding standards‐driven testing frameworks, a passing score on the Ontario Secondary School Literacy Test (OSSLT) is a recently imposed secondary school graduation requirement in Ontario. There is evidence, however, that tests designed on the basis of first language (L1) populations may have lower reliability and validity for L2 students. This study elicited accounts of the OSSLT in 33 focus groups of 22 L1 students and 136 L2 students, attending 7 Ontario secondary schools, prior to and immediately after the March 2006 test administration. The results suggest important differences in L1 and L2 accounts of test constructs and suggest a gap between what is valued as literacy on the test and what is valued in classroom literacy practice, raising some concern regarding the test’s consequential validity. By examining how different groups of test‐takers interpret test constructs and the interaction between these interpretations, test design, and accounts of classroom practice, we may better address issues of fidelity in test construct representation (i.e., understand what may constitute construct under‐representation and construct‐irrelevant variance). This study highlights what may make a test more L2‐friendly, i.e. what supports (or impedes) L2 test performance. Although in the washback literature test‐taker accounts of tests have been the least researched, the results of this study suggest that such accounts have the potential to increase test fairness, enhance the validity of inferences drawn from test performance, improve the effectiveness of accommodation strategies, and promote positive washback.

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.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.385
Teacher spread0.364 · 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