Stakeholder views of place meanings along the Niagara Escarpment: an exploratory Q methodological inquiry
Bibliographic record
Abstract
The sentiments people attach to natural environments have been highlighted in place-based research literature to explore the nature and power of person–place relationships. Although person–place relationships have been studied, there is a need for a better understanding of the relationships between the meanings attributed to specific natural settings and the potential of those meanings to translate into pro-environmental behaviours as well as to influence land management decisions. The purpose of this exploratory study is to describe typologies of place meaning for a small group of people who recreate on the Niagara Escarpment in southern Ontario, Canada. Participants performed a Q-sorting procedure followed by Q methodology procedures including (1) correlation of the sorts, (2) principal components analysis of the correlation, (3) factor rotation, and (4) factor interpretation. Results represent a typology of Niagara Escarpment views held by a sample of forest recreationists who live in the Niagara Region of southern Ontario. Implications for practice and future research directions 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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".