Bibliographic record
Abstract
This dissertation examines food education from the perspectives of adolescents participation and agency. The study builds on a social constructivist understanding of learning and draws methodological inspiration from child-hood sociology. The empirical part of the study is based on two data-sets: Nordic survey data (N=1539) collected in 2006−2007 and data from a qualitative case study (2012−2013), which focused on 9th grade students in one Finnish school (14−17 years). The dissertation is compiled from four original publications. Articles I and II examine Nordic adolescents school lunch patterns and their considerations of meal choices in the family context. Articles III and IV examine adolescents school lunch practices as an educational resource and the challenges of school-based participatory research with young people. The results drawn from the comparative Nordic data-set function as a broader background, against which the results from the qualitative case study are discussed in this summary. The study is based on an interdisciplinary and multimethod research design, and has combined qualitative and quantitative data in an interpretive integration (i.e., a combination of qualitative and quantitative results at the stage of theoretical interpretation). The overall aim of the dissertation is to explore how adolescents views on their food practices could be more thoroughly used as an educational resource and how their participation and agency could be better supported in food education. This dissertation concludes that future work on adolescents participation and agency in food education would benefit from enhancing intergenerational dialogue and from approaching food-related learning as dynamic processes that reach beyond formal schooling.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".