Friendlessness and loneliness: Cultural frames for making sense of disconnection
Bibliographic record
Abstract
This article is based on 21 interviews in an Atlantic Canadian city with people who identified as having few or no friends. With all the talk of a modern loneliness epidemic, we might easily assume friendless people are lonely, yet here we take an interpretive approach to analyze how they alternately claim to experience and not experience loneliness. We argue that claims to loneliness or its absence are never merely personal stories or problems of individual health or wellbeing, but are shaped by larger cultural resources and meanings. We found that friendless people both lament and celebrate their disconnection, a duality that we theorize through competing views of the modern self as both autonomous/self-reliant and fundamentally in need of connection and community. We show how our interviewees struggle to find meaning in their disconnection and self-respect in a society where being friendless is open to stigma or pity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.030 | 0.069 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".