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Record W1963999530 · doi:10.1080/714000558

Political Action by the Canadian Insurance Industry on Climate Change

2001· article· en· W1963999530 on OpenAlex
T. Brieger, T. Fleck, Dillon MacDonald

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironmental Politics · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)PoliticsAction (physics)Insurance industryPaymentClimate changeProperty insuranceEconomicsFunction (biology)BusinessInsurance policyEconomic policyPublic economicsFinanceCasualty insurancePolitical scienceActuarial scienceLaw

Abstract

fetched live from OpenAlex

As insurance industry payments for severe-weather loss increased dramatically during the 1990s, some predicted the industry would lobby for greenhouse gas emission reductions. Analysts have noted the tentative steps in that direction taken by some firms at the international level but little research has yet been done on political action by the industry at the domestic level. This article provides analysis of the domestic policy role played by the Canadian insurance industry. In that country, the industry is taking political action but not, as anticipated, to lobby for reductions. Instead it is pressing the Canadian government for increased infrastructure spending which will reduce severe-weather loss and also to assume a portion of the insurance function through increased compensation funding. The industry sees adaptation as more effective than emission reductions and this sharing of the insurance function with government is a long-established tradition. We conclude that while economic interest is a crucial variable for analysts studying business participation in environmental politics, it is not one which is immediately self-evident.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.998

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)0.0010.003

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 head0.127
GPT teacher head0.258
Teacher spread0.132 · 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