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Record W1991609325 · doi:10.7771/2327-2937.1020

Applying Positive Psychology in the Study of Extreme Environments

2001· article· en· W1991609325 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.

Bibliographic record

VenueHuman performance in extreme environments · 2001
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSuperordinate goalsPsychologySocial psychologyNoveltyImprovisationInterpersonal communicationElite

Abstract

fetched live from OpenAlex

Positive psychology orientation for the selection of personnel for isolated, confined environments and extreme and unusual environments is presented. It is suggested that personnel for isolated environments be selected for their ability to live and work in such an environment. The traditional negative psychology orientation focuses on characteristics such as demanding work, long stretches of empty time, unusual circadian rhythms, problems with group and interpersonal relationships, narrowed cognitive focus, cross-cultural differences, flattened leadership hierarchy, excessive interpersonal intimacy, and interaction with off site management. A positive psychology orientation focuses on the natural grandeur of the environment, mystery, efficiency, coziness, comfort, novelty and familiarity, improvisation, free time, time out from daily hassles, and social group characteristics such as camaraderie, intimacy, inderdependence, superordinate goals, and belonging to an elite group.

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)0.001
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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.103
GPT teacher head0.324
Teacher spread0.220 · 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