Community Economic Development Opportunities in Alberta
Bibliographic record
Abstract
The Canadian Community Economic Development Network (CCEDNet) and Momentum, a Calgary, Alberta based community economic development (CED) organization, have issued this brief in Alberta. The brief is directed to the Alberta government. The Government of Alberta is committed to investing in job creation, economic diversification, renewable energy, and being the best place to start and grow a small business. The innovative tools of community economic development (CED) can amplify these economic initiatives by enabling the creation of more social and co-operative enterprises, providing jobs for disadvantaged Albertans, and advancing community-owned renewable energy. The following three strategies can most benefit Albertans given the current economic challenges and opportunities in Alberta: Investing in a Community and Coop Business Secretariat, supported by the Ministry of Economic Development, and hosted at a community based agency. A focus on technical support and connecting businesses to capital and resources. Providing technical, regulatory, and financial support to community-owned start-ups and projects focused on renewable energy development. Creating a market exemption for everyday Albertans (unaccredited investors) to invest in local businesses, social enterprises and co-operatives, and ensuring they benefit from the Alberta Investor Tax Credit.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.058 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".