Qualitatively recognizing the dimensions of student environmental identity development within the classroom context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study qualitatively explored the process of student environmental identity development (sEID) within the highly social and structured context of elementary school science. Social practice theory was used as the lens to distinguish the dimensions of sEID that were visible during a curriculum‐based, in‐school program focused on the issue of pollution. Student narratives, collected from small group interviews and reflective journals, were prioritized to capture the process of students in context identifying as “being for the environment.” Data collected from 35 grade six students were qualitatively coded, a network diagram was used to visualize the relationships in the data, and a research vignette was constructed. Eight dimensions were recognized as contributing to sEID; the opportunity to be an environmental actor with peers, increased awareness of environmental threat, emotional responses, self‐recognition for environmental action, perceived agency, changed behavior across social contexts, social recognition for identity actions, and personal meaning. While many of these dimensions have been directly or indirectly discussed in the research on adult environmentalists, shifting the emphasis from group membership to the individual student in context led to the addition of two dimensions—personal meaning and emotional responses. Recognizing the eight dimensions of sEID is an important contribution to the literature as students engaging in environmental action as a requirement of school is distinct from the existing research. Identifying the dimensions of sEID can support the intentional design of learning sequences that foster environmental identities in school and beyond.
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.
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 | 0.052 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it