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Record W2590909323 · doi:10.1111/1467-9817.12108

Unexpected poor comprehenders: An investigation of multiple aspects of morphological awareness

2017· article· en· W2590909323 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

VenueJournal of Research in Reading · 2017
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychologyComprehensionReading comprehensionCognitive psychologyReading (process)Sample (material)PopulationDevelopmental psychologyLinguistics

Abstract

fetched live from OpenAlex

Poor comprehenders have age‐appropriate word reading skills but struggle with understanding what they read. The purpose of this study was to investigate how poor comprehenders perform on multiple aspects of morphological awareness, a skill implicated in reading comprehension. In keeping with current research and theory, we look at three aspects of morphological awareness: morphological structure awareness, morphological analysis and morphological decoding. Using a regression‐based approach, we identified 64 poor and average comprehenders out of a large sample of children in grade 3. Our results show that poor comprehenders and average comprehenders performed remarkably similar on morphological structure awareness, analysis, and decoding. Poor comprehenders performed more poorly than average comprehenders only on word analogy, a specific measure of morphological awareness. These results identify an area with which poor comprehenders are likely to struggle, while simultaneously providing evidence for areas of relative strength within this population.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.089
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.259
GPT teacher head0.478
Teacher spread0.219 · 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