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Record W3015628853 · doi:10.3389/fpsyg.2020.00711

Reasons for Facebook Usage: Data From 46 Countries

2020· article· en· W3015628853 on OpenAlexaff
Marta Kowal, Piotr Sorokowski, Agnieszka Sorokowska, Małgorzata Dobrowolska, Katarzyna Pisanski, Anna Oleszkiewicz, Toivo Aavik, Grace Akello, Charlotte Alm, Naumana Amjad, Afifa Anjum, Kelly Asao, Chiemezie S. Atama, Derya Atamtürk Duyar, Richard Ayebare, Mons Bendixen, Aicha Bensafia, Boris Bizumić, Mahmoud Boussena, David M. Buss, Marina Butovskaya, Seda Can, Katarzyna Cantarero, Antonin Carrier, Hakan Çetınkaya, Daniel Conroy‐Beam, Marco Antônio Corrêa Varella, Rosa María Cueto, Marcin Czub, Daria Dronova, Seda Dural, İzzet Duyar, Berna Ertuğrul, Agustín Espinosa, Ignacio Estevan, Carla Sofia Esteves, Tomasz Frąckowiak, Jorge Contreras-Graduño, Farida Guemaz, Ivana Hromatko, Chin Ming Hui, Iskra Herak, Jas Laile Jaafar, Feng Jiang, Konstantinos Kafetsios, Tina Kavčič, Leif Edward Ottesen Kennair, Nicolas Kervyn, Nils Köbis, András Láng, Georgina R. Lennard, Ernesto de León, Torun Lindholm, Giulia Lopez, Mohammad Madallh Alhabahba, Álvaro Mailhos, Zoi Manesi, Rocío Martínez, Sarah L. McKerchar, Norbert Meskó, Girishwar Misra, Hoang Moc Lan, Conal Monaghan, Emanuel C. Mora, Alba Moya-Garófano, Bojan Musil, Jean Carlos Natividade, George Nizharadze, Elisabeth Oberzaucher, Mohd Sofian Omar Fauzee, Ike E. Onyishi, Barış Özener, Ariela Francesca Pagani, Vilmantė Pakalniškienė, Miriam Parise, Farid Pazhoohi, Mariia Perun, Annette Pisanski, Nejc Plohl, Camelia Popa, Pavol Prokop, Muhammad Rizwan, Mario Sainz, Svjetlana Salkičević, Rūta Sargautytė, Susanne Schmehl, Oksana Senyk, Rizwana Shaikh, Shivantika Sharad, Franco Simonetti, Meri Tadinac, Trương Thi Khanh Ha, Trinh Thi Linh, Karina Ugalde González, Nguyen Van Luot, Christin‐Melanie Vauclair, Luis Diego Vega, Gyesook Yoo, Stanislava Stoyanova, Zainab F. Zadeh, Maja Zupančič

Bibliographic record

VenueFrontiers in Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
FundersFundação para a Ciência e a Tecnologia
KeywordsPsychologyFront (military)Volume (thermodynamics)Social psychology

Abstract

fetched live from OpenAlex

This publication was financed within the framework of
\nthe programme titled Dialogue introduced by the Minister
\nof Science and Higher Education between 2016 and 2019.
\nMoreover, the author(s) disclosed receipt of the following
\nfinancial support for their research: state assignment of
\nthe Institute of ethnology and anthropology, Moscow,
\nRussia (MBu, DD). Fundação para a Ciência e a Tecnologia
\n(IF/00346/2014) awarded to C-MV.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.562
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.072
GPT teacher head0.389
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations34
Published2020
Admission routes1
Has abstractyes

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