A systematic review of the factors affecting twice-exceptional students’ social and emotional development
Bibliographic record
Abstract
In this paper, we present a systematic review of the factors influencing the social and emotional development of twice exceptional students. Eight studies among 331 published in English between January 2000 and January 2022 were determined through electronic databases. We conducted a systematic literature review by following the steps identified by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), including the processes related to data sources, search, data collection, eligibility criteria, data selection, and data analysis. Six themes were identified through the thematic analysis of these eight studies: self-concept, environment, friendship, achievement, labeling, and bullying. As a result of the analysis of the articles, it was seen that “achievement” affected the social and emotional development of twice exceptional students positively, while “bullying” affected the development negatively. However, other themes such as labeling, environment, friendship and self-concept were found to affect social and emotional development both positively and negatively.
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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 | 0.010 | 0.047 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".