BIGGER THINKING FOR SMALLER ENTERPRISES: Co-Creating a Shared Vision of the Future for Small and Medium Enterprises in Ontario
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
“Bigger Thinking for Smaller Enterprises” encourages SMEs in Ontario to acknowledge the possibilities of the future of their organisation, align with other members’ mental models to co-create a desirable future, and use that vision to form the strategy required for its attainment. This project applies foresight methodology to address the challenge Ontario’s small and medium enterprises (SMEs) face regarding long-term strategic planning. Using a shared vision of the future as a means for transformational change, this work contributes to the practice of reverse-engineering futures and long-term strategic planning to improve Ontario’s economic resilience by focusing on its largest contributors. SME strategic planning processes were analysed and compared with needs to inform the design of a five-phase process, The Future Co-Creation Engagement, to lead partakers through the process of co-creating a long-term vision for the future of their organisation and strategizing its execution.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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