Celebrating business innovations as engines for SDGs. An international collaboration to actively integrate the SDGs in Business Education
Bibliographic record
Abstract
El proyecto pretendía integrar en la formación de economía/empresa el valor positivo de la actividad empresarial para el avance de los Objetivos de Desarrollo Sostenible de las Naciones Unidas. 8 profesores de 4 continentes participaron en el proyecto, intercambiando experiencias alrededor de una aplicación docente de la competición AIM2Flourish. De ellos, 3 profesores avanzamos en el proyecto proponiendo una colaboración internacional online (COIL, por sus siglas en inglés) que supuso que alumnos de las universidades de Guelph (Canadá), IPMI (Indonesia) y Navarra (España) colaboraron para analizar casos de éxito empresarial con impacto para la sostenibilidad global. Las reflexiones sobre el papel de la empresa en la sociedad, utilizando como lentes los Objetivos de Desarrollo Sostenible, y su propia experiencia como grupos de trabajo distribuidos globalmente se recogieron en un Open Educationa Resource, disponible aquí (https://books.lib.uoguelph.ca/criticalreflectionsoninnovativeflourishingbusinesses)
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".