The Progressive Construction of Communication: Toward a Model of Cognitive Networked Communication and Knowledge Communities
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
Networked communication allows the emergence of a new social reality: knowledge communities in cognitive networks. This paper formulates a model of cognitive networked communication and knowledge communities. This model aims to show the progressive construction of communication and is based on an integrative view of conviviality (participation and engagement) and knowledge building(intentionality, individual and social representations that shape different levels of collaboration and influence learning in interpersonal relationships). The model suggests communication can progress from lower to higher cognitive levels, and that those levels are apparent in different types of communities. Although community communication is essentially structured through cognitive procedures ( logos), the model also suggests that it is shaped by affectivity and emotions ( pathos), and moral and cultural values, beliefs, and opinions ( ethos).
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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