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.
Bibliographic record
Abstract
Mallette, Duke, Introduction. Barone, Case-Study Research. Stanovich, Cunningham, Inferences from Correlational Data: Exploring Associations with Reading Experience. Florio-Ruane, Morrell, Discourse Analysis: Conversation. Goldman, Wiley, Discourse Analysis: Written Text. Purcell-Gates, Ethnographic Research. Vellutino, Schatschneider, Experimental and Quasi-Experimental Design in Literacy Research. Reinking, Bradley, Connecting Research and Practice Using Formative and Design Experiments. Stahl, Hartman, Doing Historical Research on Literacy. Henk, McKenna, Developing Affective Instrumentation for Use in Literacy Research. Bus, van IJzendoorn, Meta-Analysis in Reading Research. Fletcher, Simos, Papanicolaou, Denton, Neuroimaging in Reading Research. Baumann, Bason, Survey Research. Pressley, Hilden, Verbal Protocols of Reading. Dressman, McCarthey, Toward a Pragmatics of Epistemology, Methodology, and Other People's Theories in Literacy Research. Duke, Mallette, Conclusion, Appendix: Alphabetical Listing of the Exemplars.
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 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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it