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Record W564048728

Estimating the Credibility of the Co-operative Commonwealth Federation's Threat to Nationalize Oil Resources in Saskatchewan

2012· article· en· W564048728 on OpenAlexaffabout
Jennifer Winter, Herb Emery

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsExpropriationCredibilityCommonwealthEconomicsResource (disambiguation)Natural resource economicsNatural resourceInvestment (military)Public economicsValue (mathematics)Government (linguistics)BusinessLawPolitical scienceMarket economy
DOInot available

Abstract

fetched live from OpenAlex

We examine the validity of the commonly held view that the ideology and policies of the Co-operative Commonwealth Federation (CCF) governments in Saskatchewan (1944- 1964) re-tarded the development of Saskatchewan’s oil and gas resources. We develop a model to value land with an exhaustible resource under uncertainty. The uncertainty comes from a positive probability of expropriation with zero compensation. This research adds to the existing litera-ture as the model results in the derivation of a simple equation that allows identification and estimation of the effect of expropriation risk, given appropriate data are available. The model is used to evaluate the effect of the CCF on the natural resource industry in Saskatchewan. The tenure of the CCF is used as a proxy for the perceived probability of expropriation. The results indicate the CCF government did affect expenditure on mineral rights in Saskatchewan. More precisely, the effect of the CCF was to reduce the discounting of current profits in determining the value of land, which decreased expenditures on land. The expropriation threat did not reduce investment in production, but did reduce willingness to pay for mineral rights relative to Alberta.

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)0.001
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 score0.250
Threshold uncertainty score0.989

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)0.0000.000

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 head0.025
GPT teacher head0.273
Teacher spread0.248 · 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 teacher head, 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

Citations1
Published2012
Admission routes2
Has abstractyes

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