Youth, Interrupted? Young Adults, Time and the Future During the Covid-19 Pandemic
Bibliographic record
Abstract
This article analyses how the pandemic reshapes young adults’ relationships with time and the future. While youth sociology has already highlighted the significant disruption of young adults’ daily temporalities, we emphasize the need to further explore young adults’ relationship with the « future » and its evolution in times of crisis. Using a life course perspective, we explore how the health crisis has affected not only the immediate time experiences of young adults but also their aspirations and their future outlook. Drawing on 48 life stories of young adults from various social backgrounds in Canada (Quebec and Ontario), we show that the pandemic represents a « shock of uncertainty » for all, necessitating rapid readjustments in one’s trajectory. Depending on living conditions and unequal capacities to « bounce back », life stories become divided into three main pandemic narratives: the fall or « stolen » time, the respite or « recovered » time, and the parenthesis or « suspended » time. Each of these narratives corresponds to a specific experience of the future, whether lost, reclaimed, or just on hold. We highlight how past vulnerabilities influence the very experience of the pandemic, and thus lead to different abilities to project into the future. The discussion identifies key lessons to take better account of time and the future in research on youth in a crisis context.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".