An early reader two decades later: a follow‐up case study on the Metacognitive reading strategies of ‘Jan’
Bibliographic record
Abstract
Abstract This is a follow‐up study regarding one of the early readers whose metacognitive reading strategies were explored in my 1991 qualitative case study research, published in Reading , 29 (2), 30–33. Unique factors in the original study involve the inclusion of young children as informants related to self, task and text. Six‐year‐old ‘Jan’ is now almost 26, and a semi‐structured interview method was used to examine effects the previous study may have had on her development as well as her current preferences regarding reading strategies, comparing her profile to that of her past reading self. In addition, the contemporary qualitative study explores conclusions regarding the reading process that might assist educators in the teaching of reading as well as facilitate further research with young children. Results of this follow‐up study support involving young children as informants regarding their literacy events and imply the need for further research regarding adult readers, related to further understandings of the reading process and best educational practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".