Understanding micro-level resilience enactment of everyday entrepreneurs under threat
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
Differences in independent retail small business entrepreneurs’ COVID-19 resilience enactment are investigated using a qualitative retroductive analytic approach. We observed that some entrepreneurs, even in the same industry, sector and city, with similar offerings, chose to adopt online store technologies while others did not. Identity motives are uncovered as a likely explanatory construct, as those with externally focused identity motives generally adopted these technologies while those with internally focused identity motives generally did not. Identity motives appear to influence entrepreneurs’ perceptions of technology affordances, potentially moderating the impact of these perceptions on technology adoption decisions. Contrary to conceptualizations of individual resilience being a trait or process, we find support that resilience is more appropriately viewed as a mindset. Implications for entrepreneurship theory, practice, and education are discussed.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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