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Record W1536291223 · doi:10.20360/g2w01x

Searching for Culturally Responsive Formative Reading Assessments: Retellings, Comprehension Questions, and Student Interviews

2012· article· en· W1536291223 on OpenAlexvenueno aff
Susan V. Piazza

Bibliographic record

VenueLanguage and Literacy · 2012
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsFormative assessmentLiteracyReading (process)ComprehensionReading comprehensionPsychologyDiversity (politics)PedagogyMathematics educationSociologyComputer scienceLinguistics

Abstract

fetched live from OpenAlex

How do formative reading assessments influence educators’ ability to assess readers’ understandings in culturally responsive ways? This study examines three formative reading assessments to explore the capacity of each measure to fairly represent readers’ understandings without being influenced negatively by social and cultural diversity. The guiding question is “How do these three formative assessments inform and support culturally responsive literacy instruction?” Participants in this study include 10 young adolescent African American male readers. Data collection and analysis took place in a Midwestern urban university in the United States and makes use of a cross case comparison format. Interviews reveal that readers are the best informants regarding their own understandings about texts. Comprehension questions and retellings reveal discrepancies across readers’ understandings. It is crucial that students are given the benefit of responsive assessments in order to accurately demonstrate academic strengths and areas of instructional need.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.519

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 head0.418
Teacher spread0.388 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2012
Admission routes1
Has abstractyes

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