The Scale of Excessive Use of Social Networking Sites – the psychometriccharacteristics and validity of a proposed tool
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
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Kotyśko M, Michalak M. The Scale of Excessive Use of Social Networking Sites – the psychometric characteristics and validity of a proposed tool. Alcoholism and Drug Addiction/Alkoholizm i Narkomania. 2020;33(3):239-252. doi:10.5114/ain.2020.101800. APA Kotyśko, M., & Michalak, M. (2020). The Scale of Excessive Use of Social Networking Sites – the psychometric characteristics and validity of a proposed tool. Alcoholism and Drug Addiction/Alkoholizm i Narkomania, 33(3), 239-252. https://doi.org/10.5114/ain.2020.101800 Chicago Kotyśko, Martyna, and Maciej Michalak. 2020. "The Scale of Excessive Use of Social Networking Sites – the psychometric characteristics and validity of a proposed tool". Alcoholism and Drug Addiction/Alkoholizm i Narkomania 33 (3): 239-252. doi:10.5114/ain.2020.101800. Harvard Kotyśko, M., and Michalak, M. (2020). The Scale of Excessive Use of Social Networking Sites – the psychometric characteristics and validity of a proposed tool. Alcoholism and Drug Addiction/Alkoholizm i Narkomania, 33(3), pp.239-252. https://doi.org/10.5114/ain.2020.101800 MLA Kotyśko, Martyna et al. "The Scale of Excessive Use of Social Networking Sites – the psychometric characteristics and validity of a proposed tool." Alcoholism and Drug Addiction/Alkoholizm i Narkomania, vol. 33, no. 3, 2020, pp. 239-252. doi:10.5114/ain.2020.101800. Vancouver Kotyśko M, Michalak M. The Scale of Excessive Use of Social Networking Sites – the psychometric characteristics and validity of a proposed tool. Alcoholism and Drug Addiction/Alkoholizm i Narkomania. 2020;33(3):239-252. doi:10.5114/ain.2020.101800.
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 | 0.000 | 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 | 0.000 | 0.001 |
| 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