Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines young people’s narratives of rejection of social networking sites (SNSs). It draws upon data of 30 semi-structured interviews with young people aged 18–26 from Portugal. The findings show that reasons for rejecting SNSs are related to three main categories: perceived usefulness of SNSs; specific social practices in SNSs (e.g., disclosure of personal data and gossip); and self-presentation and identity. In addition, our data point to four types of non-users: resisters, rejecters, surrogate users, and potential converts. This typology challenges dichotomies, such as, usage versus non-usage, access versus non-access, and consumption versus non-consumption. Finally, we explore feelings of missing out and social strategies set in place by non-users to cope with the pervasive use of SNSs among young people. We contribute, therefore, to the limited literature on rejection of social media amongst this group, by giving voice to young non-users and their choices.
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.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it