True choice and taking ownership of life: a qualitative study into self-determination in Sudbury model schools
Bibliographic record
Abstract
Purpose This study aims to present the experiences with self-determination and taking ownership of life in Sudbury model schools that allow students true choice. Design/methodology/approach For this qualitative study we used a thematic analysis (TA) methodology. The study is based on semi-structured interviews with 14 adult participants from eight different Sudbury model and comparable schools in the Netherlands, Israel and the US. These schools offered students real choice in the curriculum program. Transcripts were analyzed and corresponding meanings thematized. Self-determination theory (SDT) is used as a lens to interpret the findings. Findings The findings suggest that an organizational structure that supports own responsibility in an absence of an imposed program and a culture of no-interference creates conditions for taking ownership of life and choices (self-determination) and encompasses taking ownership of learning, education and one’s future. Taking ownership of one’s life seems to be related to strongly internally oriented processes with an internal locus of causality, to find their own motivation and taking responsibility for choices, behavior and consequences in a SDT need supportive social context. Research limitations/implications This study is part of a larger research that addressed multiple facets of their experiences with their schools to understand the longer-term effects these schools had on the adult lives of participants. This limits the scope of this paper to only explore the conditions that led to the mental state of “taking ownership of one’s life.” Originality/value Conditions that can lead to long-term self-determination of one's life and future in a school setting is an unexplored area of research.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".