“Why (Should) I Do Something for the Environment?” Profiles of Flemish Adolescents’ Motivation Toward the Environment
Bibliographic record
Abstract
The Motivation Toward the Environment Scale (MTES), developed in Canada, measures people’s self-determined motivation for doing something for the environment. Answering the call by its original developers, this study further validated the MTES within a sample of 779 Dutch-speaking senior secondary school students, aged 17 to 19, in the north of Belgium. More specifically, reliability and construct validity of a Dutch translation of the MTES were verified. To this measure, confirmatory factor analysis was used, and the hypothesized simplex structure was tested through correlation analyses. Results confirmed the reliability of the MTES and a five-scale version of the MTES, excluding identified motivation, is introduced. This variable-centered approach was complemented by the adoption of a person-centered approach for identifying MTES profiles. Using cluster analysis, four meaningful MTES profiles emerged, with amotivation scoring medium to high in all but one. Theoretical implications of the findings and suggestions for interventions and further research are discussed.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".