Making sense of place: exploring creative and (inter)active research methods with young people
Bibliographic record
Abstract
This paper explores the added value of the ’new’ creative and (inter)active research methods in geographial research. Using examples from our research project with young people in Cedar (Vancouver Island, Canada) we analyze the contributions and limitations of walks, mental mapping, photography and video when compared to only interviewing. Given our engagement with everyday places and a participatory research approach, we explicitly focus and evaluate the research methods for their qualities in revealing different aspects of place, and for their success in involving young people with various interests and abilities actively in the whole research process. The findings suggest that, in addition to revealing diverse aspects of everyday places and practices on different levels of detail, the ’new’ research methods motivate and enable different individuals to participate and share their experiences. Furthermore, combining the ’new’ methods or combining them with interviews has an added value as such a mix is able to paint a detailed picture of daily places, colored by the way different individuals see, hear, smell, use or experience them.
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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 | 0.067 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.009 | 0.026 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".