Working in the Crisis: Practitioners' perceptions of and responses to the COVID-19 Pandemic
Bibliographic record
Abstract
The COVID-19 pandemic was one of many global challenges localities have contended with over the past few decades. In response to such global pressures, economic development practitioners are tasked with safeguarding their localities’ economic and social well-being. But little is known about how these types of shocks and challenges have influenced overall economic development practices and planning. To address this question, we conducted in-depth interviews with thirty-seven local economic development practitioners from Ontario, Canada. We find that practitioners, in their bounded autonomy, push back against global forces such as the COVID-19 pandemic in an attempt to safeguard their localities. Further, the findings show that over the last three years a shift occurred in nearly all parts of local economic development – from greater emphasis on human capital, to changes in what sectors of local economies are favored and targeted, to alterations in the day-to-day work occurring within local economic development offices.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".