Bibliographic record
Abstract
is the state of being anxious or disturbed when feeling disconnected from the digital world and can have a significant impact on individuals' health and well-being. Drawing upon attachment theory and the previous literature on nomophobia, this study aims to understand how attachment anxiety influences nomophobia and whether this relationship differs between males and females. In the Human Penguin Project (HPP) (N = 1221; 12 countries; participants aged ≥20 years), the Experiences in Close Relationships Questionnaire-Revised (ECR-R), the Toronto Alexithymia Scale (TAS-20), the Perceived Stress Scale (PSS), and the Nomophobia Questionnaire (NMP-Q) were used to assess attachment anxiety, alexithymia, perceived stress, and nomophobia, respectively. The results demonstrated that (1) there were significant positive correlations between attachment anxiety, nomophobia, alexithymia, and perceived stress. Additionally, (2) there was a direct and significant effect of attachment anxiety on nomophobia, and alexithymia and perceived stress partially mediated this relationship. Finally, (3) gender significantly moderated the relationship between attachment anxiety and nomophobia. Specifically, the predicted effect was significant in both males and females, but the direct effect of attachment anxiety and nomophobia was stronger in males.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".