Emergence and ontogenetics: Towards a communication without agent
Bibliographic record
Abstract
In the scientific community, discussions about emergence are motivated by a need to understand the process by which complex systems exhibit novel characteristics that cannot be reduced to those of their parts. The whole is thus said to be greater than the sum of the parts. We borrow from this framework in order to explore a different understanding of communication. Instead of seeing the whole as the result of a communication process between the parts, we take a step back and propose to understand communication as the process through which both parts and whole emerge. This perspective opens the possibility to think of a communication that is not the result of an exchange between pre-existing individual agents, but the very process by which individuals emerge in the first place. From the perspective of social sciences in general, and of communication studies in particular, this theoretical experimentation points towards a model that is not subordinated to the traditional opposition between parts and wholes, individuals and collectives.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.037 |
| Scholarly communication | 0.006 | 0.017 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".