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Record W2034354210 · doi:10.1080/02568543.2013.823898

Meaning Construction in Early Oral Reading

2013· article· en· W2034354210 on OpenAlexaff
Paul David Léger, Catherine Ann Cameron

Bibliographic record

VenueJournal of Research in Childhood Education · 2013
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of British ColumbiaUniversity of New Brunswick
Fundersnot available
KeywordsMiscue analysisReading (process)Meaning (existential)PsychologyMeaning-makingLiteracyLinguisticsReading comprehensionComprehensionDevelopmental psychologyCognitive psychologyPedagogy

Abstract

fetched live from OpenAlex

The authors’ interest in the associations between beginners’ reading and writing performance led them to devise an index of children's meaning construction in reading by increasing the specificity of the Reading Miscue Inventory meaning change index to include finer discriminations between superficial and meaning disruptive miscues potentially reflective of beginners’ writing errors. Additionally, the authors inserted textual disruptions in a story to examine the children's meaning making under formative textual challenges frequently encountered in emergent literacy engagements. Fifty-one 2nd-grade students participating in a longitudinal early literacy project read a story, the last quarter of which contained meaning disruptions. Participants’ adaptations of these latter disruptions were compared with their meaning change miscue scores based on their nondisrupted reading performance. Adaptation scores were related to meaning change scores, suggesting that skill in adaptation to disruptions also reflects meaning construction processes, opening a door for manipulating textual discrepancies in order to document formatively, and thus find avenues for ameliorating, specific reading/writing difficulties.

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)0.003
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 score0.344
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.049
GPT teacher head0.414
Teacher spread0.365 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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