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Record W4366465286 · doi:10.22251/jlcci.2023.23.7.625

Research Trends on Non-suicidal Self-Injury in Online Space

2023· article· en· W4366465286 on OpenAlexaboutno aff
Ha Nul Yoo

Bibliographic record

VenueKorean Association For Learner-Centered Curriculum And Instruction · 2023
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySpace (punctuation)MedicineMedical emergencyComputer science

Abstract

fetched live from OpenAlex

Objectives The purposes of this study is to analyze domestic and foreign research trends, achievements, and limitations on non-suicidal self-injury (NSSI) in the online space, and to seek the therapeutic intervention methods and the direction of future NSSI research. Methods First, a search was conducted with the keywords ‘non-suicide self-injury’ in the academic portal sites RISS, ScienceOn, ScienceDirect, and Google SCHOLAR. Secondary search was conducted within the results with the keywords ‘internet’, ‘online’, and ‘social media’. Based on the search results, 22 papers were selected through a review process to exclude researcher bias, excluding papers that did not meet the purpose of the study. Papers classified in terms of research trends by country, characteristics of research subjects, and research methodologies, and the research results were classified into protective factors, risk factors, and treatment and prevention intervention methods by referring to the analysis framework of previous studies. Results Research on non-suicide self-harm in the online space was the most conducted in Canada, and the subject of the study was NSSI-related contents. For the methods, there were 7 quantitative studies and 15 qualitative studies. As for the research topic, NSSI related activities in online space were the most common. Risk factors in online NSSI-related studies were summarized as validation, acquisition of information related to non-suicidal self-injury, satisfaction of interest, negative effects of online communication, effects of homogeneous groups, and trigger functions. And the protective factors were relief of non-suicidal self-injury impulses, cessation of behavior, use as a tool for recovery, acquisition of emotional support, promotion of hope for recovery, window for requesting help, and acquisition of information for helping others. As for the treatment and prevention intervention, the necessity of understanding and utilizing the specificity of the online space in the counseling and prevention education scene and efforts at the online platform were mentioned. Conclusions Based on the research results, therapeutic intervention and prevention methods for NSSI activities in online space were proposed, and direction for follow-up studies were suggested.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.367
Teacher spread0.326 · 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 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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