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Record W2969930442 · doi:10.1093/njaf/21.4.200

Who Will Log in Maine's North Woods? A Cross-Cultural Study of Occupational Choice and Prestige

2004· article· en· W2969930442 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

VenueNorthern Journal of Applied Forestry · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLoggingPrestigeWork (physics)GeographyOccupational prestigeSocioeconomicsDemographyForestryDemographic economicsSociologyEngineeringPopulationEconomics

Abstract

fetched live from OpenAlex

Abstract Two distinct populations of loggers work in Maine's border counties with Quebec: Maine resident and Quebec resident woodsworkers. This study compared the sense of occupational choice and prestige held by these workers, as well as their sociodemographic attributes. Significant differences in age, education, and logging experience were found between these two populations. In addition, Maine resident loggers appeared to exhibit less resignation to woods work than their Quebec counterparts. However, Quebec resident loggers indicated that their profession was held in higher esteem among the public than did loggers from Maine. Over two-thirds of respondents from both populations would not encourage a son/daughter to be a logger, despite considerable familial attachment to logging. Results may have implications for logging labor supply, labor recruitment efforts, and logging mechanization in a region heavily dependent on the forest products industry. North. J. Appl. For. 21(4):200–208.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.482

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)0.0000.000

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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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