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
Purpose The purpose of this study is to investigate whether and how leadership practices that facilitate a positive emotional climate (the “PEC practices”) are related to organizational outcomes in terms of performance (increase in revenue), strategic growth, and outcome growth. Design/methodology/approach A panel study was conducted to test the hypotheses. Data were collected from 229 entrepreneurs and small business owners operating in Greater Vancouver, British Columbia, Canada. In the first wave of the study, the authors collected data regarding the PEC practices. The data on outcome variables, i.e. revenue, strategic growth, and outcome growth, were collected in the second wave, 18 months later. Findings The regression analyses showed that the PEC practices were positively related to company performance, revenue growth, and outcome growth, providing support for the hypotheses in the study. Originality/value This study provides valuable insights about the role of emotional factors in organizational‐level outcomes, a relatively unexplored area in emotions research. Analyzing a set of panel data, the study has shown that leadership practices that facilitate a positive emotional climate in an organization make a difference in organizational‐level outcomes.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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