Does the Internet shape a disciplinary society? The information-knowledge paradox
Bibliographic record
Abstract
In the post–modern era, knowledge is being understood as information. In reality, knowledge is commoditized and objectified as decontextualized representations. More information may mean that the society is drawn into a critical phase where loss of knowledge occurs with the unlimited flow of information. Such ubiquitous information could lead to less understanding, less trust and less truth, which would erode rationality in the governance of the society. Using a framework based on Michel Foucault’s archeological methodology, i.e., unearthing how information and communication technologies (ICT) came to be viewed as a source of truth/knowledge, this paper explores the question: Do ICT contribute information that can be construed as knowledge? Does this knowledge contribute to truth or to power? Do ICTs push an information society towards Foucault’s disciplinary society, where the so–called knowledge speaks ‘truth to power’?
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.029 |
| Scholarly communication | 0.016 | 0.026 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".