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Record W2088773045 · doi:10.1177/0013916511420421

Wayfinding and Spatial Reorientation by Nova Scotia Deer Hunters

2011· article· en· W2088773045 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironment and Behavior · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsNova scotiaPerceptionGeographyPsychologyClimbingOrientation (vector space)Social psychologyArchaeologyMathematics

Abstract

fetched live from OpenAlex

How do backcountry travelers respond to losing their way? To address this question, deer hunters were surveyed in regard to their attitudes toward various methods of recovering one’s spatial orientation. Ratings of the likelihood of adopting each of nine reorientation strategies—or advice on what to do on becoming “lost” in the woods—revealed that “climbing a tree or hill for a better view” was rated highest among alternatives. One strategy, “try to travel a straight line out of the woods,” was positively correlated with respondents’ self-reports of having been lost while hunting. Principal components analysis of reorientation strategies yielded four components, labeled “skill based” (e.g., using environmental cues to travel a straight line), “downhill” (e.g., following a stream), “perception based” (improving visual access), and “wandering” (e.g., traveling the path of least resistance). The importance of spatial reorientation to general wayfinding skill was discussed.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.016
GPT teacher head0.206
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it