Bibliographic record
Abstract
Active labor market policies (ALMP), 114 "Agenda per la transizione", 120 Amsterdam City Council, 140-141 Amsterdam City region, 136, 139-140, 142, 148-150 entrepreneurial policy implementation in, 146-148 "Assegno di ricollocazione", 124 Assertive ways of leading, 38-40 Assolavoro, 124 Atlantic Canada Opportunities Agency (ACOA), 14 Australia, Social entrepreneurship in, 158 Australian Impact Economy Entrepreneurial Ecosystem, 166-167 Borsa Lavoro Lombardia (BLL), 119, 125-129 "Bottom-up" approach, 6 Business accelerator (BA), 5, 92 advantages and disadvantages of, 102-103 business incubators, 93-94 CEO of, 98 data collection and analysis, 97-98 entrepreneurs and CEO, 96 evolution of economy incubator, 94-95 Flat6labs, 95-96 influence to start business, 98-99 overcoming challenges through, 101-102 perceived challenges to start business, 100-101 policy and practice recommendations, 106 profit-business in Egypt, 96
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.788 | 0.830 |
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".