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Record W6969493513 · doi:10.5683/sp3/ghafca

Environics Environmental Monitor, 1990-4

2023· dataset· en· W6969493513 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2023
Typedataset
Languageen
FieldArts and Humanities
TopicEarly Modern Spanish Literature
Canadian institutionsInnovative Research Group (Canada)
Fundersnot available
KeywordsPublic opinionSample (material)Telephone surveyEnvironmental researchNatural resourceResource (disambiguation)Period (music)Environmental policy

Abstract

fetched live from OpenAlex

Environics Environmental Monitor (EEM) is a public opinion survey of Canadian citizens. The Environmental Monitor is a syndicated quarterly report of Canadian public attitudes toward environmental and natural resource issues. Each quarterly report is based on the results of 1,500 telephone interviews with a representative sample of adult Canadians. Currently, data are available through the Canadian Opinion Research Archive from 1987. EEM is produced by Environics Research Group Limited, Toronto, Ontario. Environics Environmental Monitor, 1990-4 is a telephone survey of 1,532 adult Canadians conducted during the period from November 5 to November 28, 1990.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.012
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.018
GPT teacher head0.217
Teacher spread0.198 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes2
Has abstractyes

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