The Significance of Place in John Muirâs Writings about Wilderness
Bibliographic record
Abstract
Abstract \nJohn Muir was a prominent figure in the North American conservation movement who advocated for the preservation of wilderness throughout his life. Muirâs writings depict a wealth of assigned values to some of North Americaâs most wild places. The topic of âplaceâ is one area of contemporary research that can be applied to Muirâs writings on wilderness to examine how his ideas might hold currency in modern times. It is from a conceptual framework of place that this study responds to the following research questions through a qualitative approach utilizing text analysis: What are the connections and disconnections between Muirâs writings on wilderness and contemporary place attachment literature? How might contemporary place attachment literature benefit from John Muirâs writings? Results of this study highlight the historical and contemporary importance within Muirâs writings on preserving and exploring wilderness areas to encourage place attachment. Implications are discussed.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.006 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".