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
ABSTRACT Using a large sample of U.S. firms, we provide evidence of the effect of CFO overconfidence on firms' resource adjustment decisions. After controlling for CEO overconfidence, we find CFO overconfidence is positively associated with cost stickiness. We also find that CFO power relative to the CEO increases the positive association between CFO overconfidence and cost stickiness. Our study contributes to our understanding of the important role of CFOs in operational decisions such as resource adjustment decisions. We also extend the literature on cost behavior by highlighting managerial characteristics as an important determinant of resource adjustment decisions. Our study has important practical implications. Unlike resource adjustment decisions driven by agency problems or other incentive-related issues, such decisions driven by managerial overconfidence cannot be addressed with incentive contract designs. Promising ways to mitigate overconfidence-driven resource adjustment decisions include making overconfident managers aware of their potential behavioral biases and challenging their expectations.
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 | 0.003 | 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 | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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