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Record W6996631828

In the service of the stakeholder: a critical, mixed-method program of research in high-stakes language assessment

2011· dissertation· en· W6996631828 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)CertificationStakeholderLanguage assessmentLanguage proficiencyPerceptionTask (project management)Service (business)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The three studies presented here represent a two-year program of research that critically explored one case of high-stakes language assessment—English proficiency assessment for teacher certification in Quebec, Canada.The first study was an examination of the final administration of a writing test used for this purpose at one Quebec university before this test was replaced. In this study, mismatches were revealed in stakeholder perceptions of the task to be produced in this assessment. The second study examined the pilot administration of a new replacement test. It focused on the socio-political environment of the test—namely, how the perception of high or low stakes by raters affected scoring. Results from this study suggested that test stakes—to all stakeholders, including raters—is a worthwhile focus of study. The third study examined the first official administration of the new test, and focused on rater behavior from a socio-cognitive perspective, suggesting that information on decision-making style may provide insight into variability in rater scoring.This program of research has been critical in that •it has integrated social and political values into the test validation process;•test stakeholders, including the test takers themselves, have not only been consulted but have determined the direction of the research program to a great extent; and•the conflicting views and competing interests of the stakeholders have been embraced and have enriched the research program.These studies will make contributions to the field of language assessment, and in particular, in better understanding how all elements of the subjectively-scored assessment situation interact. Because of its critical approach, these studies have demonstrated a responsible and progressive approach to researching the assessment of language proficiency for professional certification. In addition, the use of mixed methods designs in all three studies has been somewhat innovative and will add to the emerging field of mixed method research.

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.002
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 head0.104
GPT teacher head0.441
Teacher spread0.337 · 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 designTheoretical or conceptual
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
Published2011
Admission routes1
Has abstractyes

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