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Record W4366319402 · doi:10.5093/psed2023a6

The Relationship of Oral Reading Fluency Endurance to Comprehension in an Intermediate Depth Orthography

2023· article· en· W4366319402 on OpenAlexfundno aff
Irene Cadime, Sandra Santos, Fernanda Leopoldina Viana, Iolanda Ribeiro

Bibliographic record

VenuePsicologí a Educativa · 2023
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
FundersUniversidade do MinhoInternational Council for Canadian Studies
KeywordsFluencyOrthographyReading (process)Reading comprehensionPsychologyComprehensionPortugueseTask (project management)AudiologyCognitive psychologyLinguisticsMathematics educationMedicine

Abstract

fetched live from OpenAlex

One-minute oral reading fluency (ORF) tests are widely used, but concerns have been raised regarding whether readers are able to maintain their performance if asked to read for a larger period. The main goals of this study were to investigate whether students are able to maintain their ORF performance in a three-minute task and whether scores measured at one and at three minutes are equally good predictors of the performance in a standardized reading comprehension measure. The sample was composed of 159 Portuguese primary school students (grades 2-4). The results suggested that the number of words read correctly (WRC) declined across reading time and that three-minute mean score underestimated fluency in all grade levels compared to a one-minute reading score. The WRC measured either at one minute or using a three-minute average score was an equal predictor of reading comprehension in all grades. Implications for theory and practice are discussed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.069
GPT teacher head0.391
Teacher spread0.322 · 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 designObservational
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

Citations8
Published2023
Admission routes1
Has abstractyes

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