Putting Social Relationships to People, Things, and Places Centre Stage – Insights from a Qualitative Social Network Analysis
Bibliographic record
Abstract
Given the transformative changes anticipated in the mobility sector, a comprehensive understanding of the factors influencing the stability and variability of travel behavior is important. In this paper, we employ insights derived from a qualitative social network analysis conducted in Karlsruhe, Germany. The primary objective of this study is to provide deeper insights into the factors that contribute to individuals’ daily life configurations and their changeability. Unlike the traditional approach of investigating activity categories, this research centers on the social relationships of individuals. To capture diverse activity purposes, a social network is defined as a web of relationships that connects people, things, and places. As such, people maintain social relationships not only with friends and relatives but also with entities such as sports clubs and supermarkets. Consequently, this study yields profound insights into the characteristics of social relationships and the determinants that lead to flexible or stable mobility patterns. The analysis is dominated by two pivotal factors affecting stability and variability: the spatio-temporal context and the emotional-affective context. The article contends that an emphasis on relationships provides a useful amendment to activity-based research approaches, as it offers a holistic perspective on the contextual elements that shape the stability and variability of individual's daily lives.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".