Weaving family connections on and offline: the turn to networked individualism
Bibliographic record
Abstract
This chapter examines the role of information and communication technologies (ICTs) in family life from the perspective of older adults, and whether ICT use is helping to maintain and strengthen social ties within and across generations. Drawing on networked individualism as a conceptual and analytical model, it investigates social and network transitions affecting families and communities since the 1990s. In-depth interviews conducted in 2013–2014 with older adults from East York, Toronto, show that most of them rely more on email and less on social media and video chat. Most importantly, they still prefer spending time in person. The chapter also considers how the so-called Triple Revolution in how society operates has created opportunities for a transition to networked individualism that affects family interactions. Finally, it discusses three areas where ICTs have been integrated into family life: practices of connectivity, maintaining family ties near and far, and feelings of connectedness.
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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 | 0.001 | 0.001 |
| 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 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".