A photovoice study of school belongingness among high school students in Norway
Bibliographic record
Abstract
Although high school graduation is important for living conditions and health throughout life, many students do not complete. In Norway's northern most county, Finnmark, up to 45% of students do not complete high school. Contrary to prior research that has primarily focused on causes for dropout, this study's aim was to deepen understanding of factors that support high school attendance. A strengths-based participatory approach using photovoice addressed attendance factors as perceived by seven participating students from one high school in Finnmark. Qualitative content analysis of data generated through group dialogue about participant-generated photos and individual interviews identified six factors important for students' school attendance: a supportive school environment, a good learning environment, recuperation and recreation, family and friends, goals and ambitions, and place attachment. Related aspects of a supportive environment and belongingness, where school staff made important contributions to promoting a positive environment, were essential.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".