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Record W4388670146 · doi:10.1002/jdd.13415

Facebook endodontic groups as potential tools to provide learning opportunities

2023· article· en· W4388670146 on OpenAlexaff
Foujan Pedari, Diego Machado Ardenghi, Renata Grazziotin‐Soares

Bibliographic record

VenueJournal of Dental Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGenerational Differences and Trends
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsSocial mediaBrainstormingReputationPsychologyTable of contentsComputer scienceInternet privacyMedical educationWorld Wide WebSociologyMedicine

Abstract

fetched live from OpenAlex

Online media is one of the educational methods that suits well to the Gen Z's preferred learning styles.1 Social networking sites are not only predominant in current dental students’ social life, but are interlinked with their self-learning, search engines, and brainstorming. Albeit several risks exist upon using social media in learning (for instance, dissemination of inaccurate information, violation of privacy, the possibility to ruin one's reputation, and cyberbullying)2; Facebook groups were considered tools to provide learning opportunities in higher education.3 We hypothesized that this could also be true for dentistry-endodontics. The problem is that there is a scarcity of information on social media within the dental education literature,2 and a paucity of data on content, dynamics, and potential learning opportunities provided by social media endodontic study groups. Aiming to have preliminary information on the potential learning opportunities provided by Facebook endodontic study groups, this approach identified some public/open groups and analyzed their posts (in December 2022). The authors used the first five study groups that appeared on Google after typing “endodontic study groups on Facebook.” The content was publicly available (i.e., content that readers do not need a social networking account or password to access). Upon quantitative (frequency and percentages) and qualitative (authors’ perceptions) measures, this activity assessed n = 5 study groups and n = 50 posts (the first 10 posts from each group visualized at the day of assessment). An Excel table aggregated information for each study group (name, creation date, language, number of followers, number of posts in 1 month, type of posts, and main rules), and post (diagnosis, radiographs, clinical pictures, rubber dam use, and final documentation on obturation + restoration). Facebook endodontic study groups were created by endodontists (private practice) from Iraq, Egypt, South Africa, and Italy. Four groups were active, and one had its last post in 2019. Groups allowed people who were group members share endodontic cases, articles, or news. The five assessed groups focused on clinical cases. On average, groups had three posts per day, but two of the groups had 10+ posts per day. The biggest group had 198,000 followers. Ethical rules included: “no tolerance for bullying or harassment.” There was no mention if patients had signed a consent form allowing the use of radiographs or pictures in websites. The posts received few likes (average = 7) and usually no comment; however, the largest group had approximately 100 likes per post with comments. Clinical cases (n = 53) were mostly nonsurgical root canal treatment (75.47%) of molars (71.69%). Diagnosis was absent in 67.92%; when present, it was incomplete and/or inaccurate (according to the American Association of Endodontists classification). Sets of radiographs were complete in 60.3% (with bad quality and cropped images). Rubber dam was visualized in 86%. Obturation was 79.24% appropriate (very few small voids and a little of sealer extrusion was considered acceptable/appropriate). Coronal restoration appeared in 81.13%. Find more information in Table 1. N = 5 Endodontic study groups on Facebook Clinical cases n = treatment n = re-treatment n = type of tooth Two of the five assessed groups had several followers and engaged individuals in discussions about the clinical cases. Most discussions addressed the techniques, materials, and technologies. In most cases, the radiographic root canal obturation was appropriate, but, contrastingly, patient's medical and dental history, pulpal-periapical diagnosis, and follow-up data were missing. This approach showed that Facebook endodontic groups may provide learning opportunities—in other words, study groups can work as an informal learning environment4 and enhance the learning process because dental students may improve their criticism, judgment, and reflexive analysis.2, 5 Authors deny any conflict of interest related to this article.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0190.002

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 head0.355
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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