Bibliographic record
Abstract
Resume : Cette revue de la litterature a ete entreprise en 2019 dans le but d'examiner les effets sur la sante de l'exposition a l'ecran sur les jeunes d'âge scolaire. Avec l'epidemie de COVID-19 au debut de 2020 et l'obligation subsequente pour de nombreux etudiants d'apprendre en ligne, les preoccupations concernant l'exposition des jeunes aux ecrans ne font que devenir plus prononcees. Aujourd'hui plus que jamais, il est essentiel que les educateurs, qu'ils soient nouveaux ou anciens, tiennent compte des effets de l'exposition a l'ecran. Trois bases de donnees ont ete consultees pour la revue de la litterature, notamment EBSCO Education Source, APA (American Psychological Association) PsycNet, et Ovid MEDLINE. L'ensemble final de 22 etudes a ete compile a l'aide de recherches systematiques menees en janvier 2019 a l'aide de termes de recherche associes a l'utilisation du temps d'ecran chez les adolescents. Les categories d'effets qui ont emerge etaient: (a) physiques;(b) comportemental;et (c) psychologique. Bien que certains des resultats de ces etudes demontrent des correlations negatives faibles mais significatives entre l'exposition au temps d'ecran et les effets sur la sante, et sont potentiellement utiles pour comprendre les associations du temps d'ecran avec les facteurs identifies, dans leurs conclusions, les auteurs soulignent qu'il est difficile d'etablir des liens de causalite. La discussion des resultats se concentre sur le potentiel que les influences familiales peuvent avoir pour ce qui est d'aider les jeunes a adopter des comportements positifs a l'ecran.Alternate abstract:This literature review was undertaken in 2019 with the goal of examining the health effects of screen time exposure on school-aged youth. With the COVID-19 outbreak in early 2020, and the subsequent requirement for many students to learn online, concerns about youth exposure to screens only became more pronounced. Now, more than ever, it is vital that educators-both new and old-consider the effects of screen time exposure. Three databases were accessed for the literature review including EBSCO Education Source, APA (American Psychological Association) PsycNet, and Ovid MEDLINE. The final set of 22 studies were compiled using systematic searches conducted in January 2019 using search terms associated with screen time use among adolescents. The categories of effects that emerged were: (a) physical, (b) behavioural, and (c) psychological. While some of the results of these studies demonstrate small but significant negative correlations between screen time exposure and health effects, and are potentially helpful in understanding screen time associations with the identified factors, in their conclusions authors point out that it is difficult to establish causal connections. Discussion of the results focuses on the potential that familial influences may have in terms of supporting youth in establishing positive screen time behaviours.
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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.016 | 0.018 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".