Reading Service Set Identifiers (SSIDs): Marking and Locating Public and Private Wireless Spaces
Bibliographic record
Abstract
The use of wireless Internet networks has increased dramatically in the last several years. From the home to municipal-scale networks, the Service Set Identifier (SSID) plays a significant role in the identity of networks – distinguishing one from another. As the primary tool for network node owners or providers to communicate with potential users, the network name also serves as an indicator of availability for use. Our paper reports on empirical findings from two large Canadian cities and an extensive North American database of network data that illuminates the ways these identifiers are used in practice. These data will be used to examine SSID naming as a way of marking wireless space as public or private. Our findings and discussion contribute to the knowledge on wireless Internet networks by providing an assessment of the use of SSIDs as a way of communicating public and private space. Furthermore, our work will be important for understanding future implications for software, hardware, standards, and The widespread distribution of domestic wireless equipment using the 802.11 group of
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".