Tracking devices: On the reception of a novel security good
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 describe and make sense of the reception of a novel security good: namely, the personal GPS tracking device. There is nothing new about tracking. Electronic monitoring is an established technology with many taken-for-granted uses. Against this backdrop, we focus on a particular juncture in the ‘social life’ of tracking, the moment at which personal trackers were novel goods in the early stages of being brought to market and promoted as protective devices. Using data generated in a wider study of security consumption, our concern is to understand how this extension of tracking technology into everyday routines and social relations was received by its intended consumers and users. How do potential buyers or users respond to these novel protective devices? What is seductive or repulsive about keeping track of those towards whom one has a duty or relationship of care? How do new tracking technologies intersect with – challenge, reshape or get pushed back by – existing social practices and norms, most obviously around questions of risk, responsibility, trust, autonomy and privacy? This article sets out to answer these questions and to consider what the reception of this novel commodity can tell us about the meaning and future of security.
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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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