The Social Life of High School Seniors: COVID Experiences
Bibliographic record
Abstract
COVID-19 marks a time of social isolation and social change in the lives of many people. While previous literature has focused on the mental health consequences of isolation on young people, our qualitative research aims to explore the lived experiences of adolescents during the pandemic. Based on 10 in-depth, semi-structured interviews with senior year students at the John F. Kennedy School in Berlin, this study seeks to determine whether both the government and school-imposed COVID-measures have impacted the social lives of our participants and to understand how they experience these potential changes. Our research found that students report a significant change in social life, but, in contrast with the existing literature, their experience of this social change is perceived as positive. These positive changes included a reported improvement in social connections, a more conscious use of social media, and the potential for more alone time. By exploring these three themes, our participants’ unexpected positivity can be placed into a larger context in which the pandemic is an opportunity to forge more meaningful connections while learning to be more conscious in spending time alone in an “always-on” culture.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| 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".