Conclusion au dossier spécial — « Décarboner le management international » : entre transitions environnementales, sociales et digitales
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
The 13th Atlas-AFMI Conference was held at the IAE in Bordeaux in July 2023. Its central theme was “the decarbonization of international management.” This choice of theme reflects a context marked by the growing visibility of the effects of climate change and collective recognition of the urgent need for systemic action. Global warming is mainly the result of the massive use of fossil fuels, on which the global economic model has been based for two centuries. At the same time, international trade, historically associated with economic growth, has intensified significantly since 1950, particularly through the fragmentation of value chains. Recent research shows that these global chains generate more CO₂ emissions than domestic production, making international trade a significant contributor to climate change. The conference discussions highlighted two major issues : the economic, environmental and social impacts of digitalization, and the responsibility of international companies in addressing climate challenges and inequalities.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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