Intervention Validity of Cognitive Assessment
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
The intervention validity of cognitive assessment batteries is considered within an historical context to identify what the evidence supports (knowns), what cannot be known (unknowables), and what is not yet known (unknowns). Two ways cognitive batteries could inform intervention are identified: a disordinal (i.e., aptitude-treatment interaction) model and an ordinal (i.e., g) model. Existing research provides little support for disordinal models and modest to strong support for ordinal models when applied to conditions of incomplete instruction. Limitations to what can be known (e.g., a failure to prove is not proof of failure) are identified to avoid holding intervention validity research to inappropriate evidential standards. Finally, issues that are within the realm of knowledge but for which there is currently insufficient or no evidence are identified as logical next steps toward understanding the intervention validity of cognitive assessment batteries.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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