Building Global Community : La tentation hégémonique de Mark Zuckerberg et de Facebook
Bibliographic record
Abstract
Le paradoxe de Facebook est d’être à la fois une entreprise cotée au NASDAQ à un prix très spéculatif et devenue en dix ans un quasi-service public. De plus, chaque utilisateur consent à laisser la société exploiter son activité en ligne pour doper son offre publicitaire et devenir extrêmement rentable. L’écosystème Facebook incarne un capitalisme cognitif devenu plus puissant que bien des États. La question actuelle est de savoir si cette entreprise saura gérer les responsabilités mondiales que lui confère sa position unique pour articuler une pensée cohérente au vingt-et-unième siècle. Tel est l’enjeu du texte récemment diffusé par Mark Zuckerberg, Building Global Community. Cette première contribution expose les intentions exprimée au début de 2017 par le fondateur de Facebook.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".