Storing Authenticity at the Surface and into the Depths: Securing Paper with Human- and Machine-Readable Devices1
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
This article examines the media technologies that mark paper as authentic. Using the examples of passports and paper banknotes, it considers the security features (e.g. graphic marks, holographs, chips) that do the work of reliably storing, protecting, and communicating authenticity across both space and time. These overt and covert authentication devices are examined in two interconnected ways: 1) as technologies with specific temporal conditions, constrained both by technical longevity and functional lifespan; and 2) as technologies that must be continuously reinvented to outpace counterfeiters and forgers. Together, these attributes have led to strategies of concealment that shift authentication from a human-legible activity at the perceptible surface to one that is concealed in the depths of machine readability. While this adds a level of security, it is also an example of how the material environment becomes rich in information that is inaccessible to human processing.
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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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