Brief Fear of Negative Evaluation scale—revised
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
Rodebaugh et al. [2004: Psychol Assess 2:169-181] recently performed a confirmatory factor analysis (CFA) on the Brief Fear of Negative Evaluation scale (BFNE; Leary, 1983: Psychol Bull 9:371-375]. Their study resulted in the emergence of a two-factor solution comprising straightforwardly worded items and reverse-worded items. They concluded by recommending use of only the straightforwardly worded items in the BFNE. Our intent in this study was to evaluate this recommendation through replication and extension. Participants included 385 undergraduates from the Universities of Regina and Houston, who provided responses to a questionnaire battery including either the BFNE or a revision utilizing straightforwardly worded versions of the reverse-worded items (BFNE-II). A CFA of the BFNE, using the two-factor model proposed by Rodebaugh et al., supported their conclusion that the reverse-worded items comprise a separate, methodologically based factor. However, CFA of the BFNE-II resulted in an acceptable unitary model that conforms to the theoretical basis for the BFNE, without risking loss of sensitivity from item removal. Additional analyses suggest use of the BFNE-II rather than a shortened form.
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 | 0.000 | 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 | 0.000 | 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