A consensual hallucination no more? The Internet as simulation machine
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
In this article, we investigate the macro-role being played – and played out – by digital, social and ‘new’ media today. We suggest that these media, facilitated by the Internet, can together be understood as a vast simulation machine that mediates and modulates everyday life to refashion what was once the ‘real world’ in its own image. Life in the ‘meatspace’ (the physical world) is most valuable, we suggest, not because it involves tweets, opinions or our desires but because these data produce useful and computable digital resources for finance, business and government. Today’s Big Data mining and predictive analytics allow for digital priorities to become non-digital realities, resulting – we suggest – in the algorithmically generated landscapes of today (and tomorrow). The imperatives driving today’s Internet and mobile technology have more to do with making the world computationally comprehensible than with the facilitation of free expression, open markets or open communication. We discuss the conditions created by these digital simulation machines as well as emerging opportunities for subversion and resistance.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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