Les caractéristiques des utilisateurs de sites de socialisation virtuelle : personnalité, attachement et fonctionnement conjugal
Bibliographic record
Abstract
Depuis leur création en 2004, les sites de socialisation virtuelle sont devenus des plateformes de communication privilégiées par plusieurs internautes. La présente étude vise à examiner les liens entre l’utilisation des sites de socialisation virtuelle et diverses variables intrapersonnelles et relationnelles. Dans la présente étude, 822 participants en relation de couple ont répondu à un questionnaire sur Internet. Les résultats indiquent que plus les internautes affichent des taux élevés d’attachement anxieux, de névrosisme et de cyberinfidélité, plus ils consacrent de temps à leurs activités sur les sites de socialisation virtuelle. Les résultats des analyses de régression multiple soulignent que le nombre d’amis sur Facebook, ainsi que les problèmes reliés à l’utilisation de Facebook contribuent significativement à l’explication de la variance associée à l’ajustement conjugal et la satisfaction sexuelle.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".