The Impact of NOLS Rocky Mountain on the Development of a Sense of Place
Bibliographic record
Abstract
Background: One of the core environmental studies learning objectives at NOLS is for students to develop a “sense of place” by experiencing wilderness and exploring relationships with their surroundings. Purpose: The purpose of this study was to explore how students report developing a sense of place after completing a course based out of NOLS Rocky Mountain in Lander, Wyoming. A secondary focus of this study was to understand sense-of-place development through past NOLS research on learning mechanisms. Methodology/Approach: Data were analyzed from 511 NOLS students who answered the open-ended question: Did NOLS help you develop a personal relationship to the places you visited? If so, how? This study utilized a grounded theory approach to design and analysis. Findings/Conclusions: Analyses revealed nine core categories related to developing an expeditionary and wilderness-focused sense of place. The two predominant themes supporting a sense of place were the ability of a NOLS course to facilitate nature appreciation and specific instructor-oriented and NOLS structure-oriented learning mechanisms. Implications: This article offers insights into how NOLS supports a sense of place, clarifies related learning mechanisms, and discusses curricular considerations related to facilitating person–environment relationships within landscapes understood as wilderness.
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.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".