Auto-biography: On the Immanent Commodification of Personal Information
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 the last years, a series of automated self-representational social media sites have emerged that shed light on the information ethics associated with participation in Web 2.0. Sites like Zoominfo.com, Pipl.com, 123People.com and Yasni.com not only continually mine and aggregate personal information and biographic data from the (deep) web and beyond to automatically represent the lives of people, but they also engage algorithmic networking logics to represent connections between them; capturing not only who people are, but whom they are connected to. Indeed, these processes of ‘auto-biography’ are ‘secret’ ones that for the most part escape the user’s attention. This article explores how these sites of auto-biography reveal the complexities of the political economy of Web 2.0, as well as implicate an ethics of exposure concerning how these processes at once participate in the erosion of privacy, and at the same time, in the reinforcement of commodification and surveillance regimes.
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 | 0.015 | 0.005 |
| 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 | 0.001 |
| 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