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Record W1524927754

Economic Development Benefits of the Oil and Gas Industry in Newfoundland and Labrador

2007· article· en· W1524927754 on OpenAlexfundaboutno aff
Angela Carter

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2007
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersMemorial University of NewfoundlandCanadian Association of Petroleum ProducersDepartment of Natural Resources, Government of Newfoundland and Labrador
KeywordsPetroleum industryBusinessNatural resource economicsEnvironmental scienceEconomicsEnvironmental engineering
DOInot available

Abstract

fetched live from OpenAlex

Misconceptions about the economic development benefits of the oil and gas industry to Newfoundland and Labrador are common throughout the province.All too often benefits are seen to be limited to St. John's, to be short term, and to be manifest strictly in the form of revenues to government, that can then be allocated to other social and economic investments.Oil and gas is seldom seen as a sector which creates competitive businesses in the province, which can sell their products and expertise into other markets.It is seldom seen as a sector which generates sustainable competitive advantage in communities and regions, with skilled work forces, specialized infrastructure, and advanced research and development capabilities.These views were particularly evident during the Harris Centre's four regional workshops and a provincial conference in the fall of 2004, "A Symposium on Growing the Economy of Newfoundland and Labrador." 1 When asked to list priorities for economic development, none of the industry, community and government stakeholders noted the oil and gas sector in the top five priorities, a trend notable in other conferences, workshops and discussions on economic development in the province.At the same time, many of the individuals and organizations already involved in the industry have not connected with communities, organizations and businesses outside the areas where oil and gas activity is already present.There was a need to bring these two worlds together.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.211
Teacher spread0.194 · 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 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 routes2
Has abstractyes

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