Bibliographic record
Abstract
SERC 3 has identified the following broad priorities for our research agenda over the next four years. 1. Strategic Framing of Context – Contextual analysis that helps us understand the drivers, assets and deficits implicated in the evolution of the social economy. 2. Understanding the Development System – The web of supports that support the formation and expansion of enterprises that use business means to advance social goals can be understood as a development system. It involves development finance (equity and credit), human resource development, promotion planning, research, advocacy and technical assistance. Development systems can be analyzed at different scales. The extent to which such systems are organized, strategic and adequately resourced have a major impact on the scale and growth potential of the social economy. In addition, the extent to which linkages are strong (or not) between function focused organizations and territorial focused development organizations will be analyzed. 3. Tracking Impacts – Tracking progress at the enterprise, development system and policy level is necessary to improve practice, strengthen development systems and design more effective policy supports. 4. Policy Research Asset/Gap Analysis – It is evident from other jurisdictions that public policies and investment is one important component influencing the positive expansion of the social economy. Understanding selected jurisdictions and analyzing the specific contexts in Alberta and B.C. are an important area of research. 5. Community Development Finance – Community development finance is the provision of capital (in either equity or credit formats) for purposes of advancing community economic development and the social economy. It specifically integrates social goals into the financing equation, seeking a social and financial return on employed capital. 6. Leadership Formation – From how our children are socialized to the scarcity of development management talent (those social entrepreneurs and activists that mobilize, leverage and manage the processes that lead to community revitalization and advance of the social economy) is an area the SERC will be scoping out more clearly in the early stages of the BALTA evolution.
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.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.555 | 0.446 |
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".