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Record W6980758612

Cook County Winter Trail-based Visitor Study

2003· report· en· W6980758612 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Minnesota Digital Conservancy (University of Minnesota) · 2003
Typereport
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioactive natural compounds
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric AdministrationMinnesota Sea Grant, University of MinnesotaUniversity of Minnesota
KeywordsVisitor patternQuarter (Canadian coin)RecreationHospitalitySample (material)Tourism
DOInot available

Abstract

fetched live from OpenAlex

Minnesota Sea Grant and the University of Minnesota Duluth Bureau of Business and Economic Research conducted the Cook County Winter Trail-based Visitor Study in the last quarter of 2002 (an atypical winter with little snow). Research assistants contacted a random sample of 162 households in Cook County, MN, by phone. A random adult in the home was asked a short set of questions about visitors who cross-country (x-c) ski and snowmobile in Cook County (65% cooperation). Additionally, 96 randomlychosen Cook County hospitality businesses were interviewed using the same questions (53% cooperation). The 51 business respondents and the residents, broken into two groups of 31 business owners or managers, and 74 non-business respondents, did not differ much in their perceptions of winter visitors. However, statistically significant differences in views are seen between respondents when grouped by their winter recreation participation (ski only, snowmobile only, both, and neither).

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.619
Threshold uncertainty score0.766

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.219
Teacher spread0.203 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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