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Record W2105451781 · doi:10.1191/0265532204lt287oa

Teacher formative assessment and talk in classroom contexts: assessment as discourse and assessment of discourse

2004· article· en· W2105451781 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.

Bibliographic record

VenueLanguage Testing · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFormative assessmentPsychologyPedagogyDiscourse analysisApplied linguisticsMathematics educationAssessment for learningSystemic functional linguisticsLinguistics

Abstract

fetched live from OpenAlex

There is now widely recognized support for classroom-based formative teacher assessment of student performance as a pedagogically desirable approach to assessment which is capable of promoting learning. However, the highly localized and socially co-constructed nature of this type of assessment has raised conceptual and research issues that transcend the theoretical and epistemological concerns of the more established standardized language assessment. One such issue concerns the part played by classroom spoken discourse in the teaching-assessment interaction between teachers and students. This article argues that there is a need to develop theoretically informed research approaches to study how this type of assessment is accomplished through teacher-student discourse in the classroom. Using data collected in two multiethnic and multilingual elementary classrooms we present an analysis, drawing on systemic functional linguistics, to suggest an approach to empirical research and to discuss a number of teaching-learning and research methodological issues.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.238
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.429
Teacher spread0.398 · 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