A Concept of Social Behavioral Biometrics: Motivation, Current Developments, and Future Trends
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
A person can be identified from his physiological traits as well as from behavioral patterns. However, a person's behavior is not only confined to individual actions such as walking or typing style, speech or handwriting but also social interactions and communication. In other words, social communication is an indispensable part of our daily behavior. Therefore, a person's social connections, spatio-temporal information, style of interactions etc. Can be a good source of information to identify his social behavioral pattern. Based on this hypothesis, this paper introduces a novel kind of behavioral biometrics called Social Behavioral Biometrics (SBB) for the first time. The study includes identification of social behavioral biometric features from real and virtual domain and their prospective applications for the purpose of person authentication and verification.
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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 | 0.001 |
| 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