Enhancing student access to science curricula through a reading intervention
Bibliographic record
Abstract
Abstract The current study explored whether a reading intervention combining flexibly applied multisyllabic word‐decoding strategies with evidence‐based fluency strategies was effective in improving the science text reading skills of upper‐elementary struggling readers. Four students, three in fourth and one in fifth grade, participated in the study. A delayed multiple baseline design was utilized, with a staggered 3‐week baseline followed by 8 weeks of reading intervention. Three students demonstrated small to moderate gains in reading fluency on science instructional passages, but no generalized gains in reading fluency on standardized passages. All students demonstrated direct gains in multisyllabic word‐decoding accuracy on science instructional passages, but no generalized gains in decoding accuracy on standardized passages. Participating students rated the intervention favorably and perceived gains in their reading skills. These findings support the use of science curricular passages when implementing reading interventions to enhance students’ ability to access the curriculum.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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".