Processing Words Varying in Personal Familiarity (Based on Reading and Spelling) by Poor Readers and Age-Matched and Reading-Matched Controls
Bibliographic record
Abstract
To evaluate whether performance differences between good and poor readers relate to reading-specific cognitive factors that result from engaging in reading activities and other experiential factors, the authors gave students in Grades 4 and 6 a perceptual identification test of words not only drawn from their personal lexicon but also varying in familiarity. During the experimental phase, on a video monitor for a duration of 60 ms, age-matched and reading-matched groups were each shown a set of pretested words varying in personal familiarity. After a 5-s delay, a “test” word was displayed, at which point participants were asked to decide whether the second word was the same as or different from the first. Measures of accuracy and reaction times for correct responses indicated that differences between reader groups still existed, despite attempts to minimize the contribution of experiential factors. Remedial interventions are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".