Sustainable Innovation Postpandemic: Perspectives From the U.S., Canada, Norway, and Thailand
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
This paper explores perspectives for improved sustainable innovation for the post COVID-19 pandemic era. We conducted online interviews between October and December 2020 with 16 individuals working in social entrepreneurship, tech startups, established companies, and non-profit business support organizations across the US, Canada, Norway, and Thailand. Our findings reveal a shared commitment to four themes related to sustainable innovation post-pandemic: (1) thinking of local problems as global problems, in the same way that innovation technologies and businesses can cause global disruptions; (2) including historically underserved populations in innovation business activities, as it is also important to truly understand how technologies and innovation businesses impact the lives of people experiencing low-socioeconomic status; (3) helping people in remote communities, low- and middle-income countries, and wartorn areas is essential – offering hands-on basic computing training could be an option for helping people gain employment in the digital economy; and (4) having governments lead postpandemic sustainable innovation projects and then invite businesses to participate. In addition, this paper proposes a theoretical framework for fostering innovation in resourceconstrained environments following large-scale disruptions.
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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 | 0.000 | 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) | 0.000 | 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