Processes and Manifestations of Digital Resilience: Video and Textual Insights From Sexual and Gender Minority Youth
Bibliographic record
Abstract
Minority stressors harm sexual and gender minority youth (SGMY). This may be mitigated by promotive and protective factors and processes that manifest resilient coping. SGMY increasingly interact with information communication technologies (ICTs) to meet psychological needs, yet research often problematizes youths' ICT use, inhibiting understanding about ICTs' potential resilience-enhancing utilities. This study analyzes text and video responses of 609 SGMY aged 14 to 29 residing in Canada or the United States to an open-ended survey question about the benefits of using ICTs. Constructivist grounded theory integrating multimodal coding was used to analyze the data, producing a framework of digital resilience-digital processes and actions that generate positive growth-with four themes: Regulating Emotions and Curating Microsystems; Learning and Integrating; Advocating and Leading; and Cultivating Relationships and Communities of Care. Implications for clinical practice, survey innovation, and application of findings in fostering affirming digital microsystems for SGMY are discussed.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".