MétaCan
Menu
← Back to cohort
Record W4385854911 · doi:10.59962/9780774857970

Natural Resource Revenues

2007· book· en· W4385854911 on OpenAlexaboutno aff
Anthony Scott

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueBusinessResource (disambiguation)Natural resourceComputer scienceEcologyAccountingBiologyComputer network

Abstract

fetched live from OpenAlex

Debate on the question of who should receive the surplus revenue generated by natural-resource exploitation -- Ottawa or the provinces -- is usually carried on in terms of history, politics custom, law, social values, and environmental considerations. This collection of essays presents analyses of the question from the economist’s point of view. The essays fall into three groups. In the first of these, the authors examine the taxation of the mining and energy industries and show how the method of taxation chosen by different levels of government -- federal or provincial -- may be “non-neutral,” distorting private output and timing decisions. The second group consists of careful case studies of the effects of particular natural resource taxation measures; the third focuses directly on the question of provincial and federal entitlement to resource revenues. Although arguments are advanced for linking the right to tax to the responsibility for management and control (at present vested in the provinces), most of the contributors would agree that the provinces should be regarded as stewards and bailiffs, not landlords; as rent collectors and managers, not “rentiers” and owners.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.172
Threshold uncertainty score0.342

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.004

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 head0.020
GPT teacher head0.168
Teacher spread0.148 · 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 designNot applicable
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of British Columbia Press eBooks→Same topicFiscal Policy and Economic Growth→French-language works237,207→