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
This investigation introduces a novel tool for identifying conscientious responders (CRs) and random responders (RRs) in psychological inventory data. The Conscientious Responders Scale (CRS) is a five-item validity measure that uses instructional items to identify responders. Because each item instructs responders exactly how to answer that particular item, each response can be scored as either correct or incorrect. Given the long odds of answering a CRS item correctly by chance alone on a 7-point scale (14.29%), we reasoned that RRs would answer most items incorrectly, whereas CRs would answer them correctly. This rationale was evaluated in two experiments in which CRs’ CRS scores were compared against RRs’ scores. As predicted, results showed large differences in CRS scores across responder groups. Moreover, the CRS correctly classified responders as either conscientious or random with greater than 93% accuracy. Implications for the reliability and effectiveness of the CRS are discussed.
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 | 0.028 | 0.115 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.001 |
| 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 it