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Record W2236591348 · doi:10.11575/prism/35834

Oil Sands And Water

2010· dissertation· en· W2236591348 on OpenAlexaboutno aff
Sheri Bownes

Bibliographic record

VenueUSFQ Digital Repository (Universidad San Francisco de Quito) · 2010
Typedissertation
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOil sandsAsphaltResource (disambiguation)Petroleum industryGovernment (linguistics)Unconventional oilFossil fuelBusinessEnvironmental protectionEnvironmental scienceNatural resource economicsEnvironmental planningPetroleum engineeringEnvironmental resource managementGeographyEngineeringEnvironmental engineeringWaste managementEconomicsArchaeology

Abstract

fetched live from OpenAlex

The oil sands of Northern Alberta contain extensive reservoirs of bitumen. This resource is very important for enhancement of domestic and international energy supplies as well for positive impacts to Canada’s economy. However, development of the oil sands is very controversial because of many issues, both social and environmental. In order to operate the oil sands industry in Northern Alberta must comply with government regulatory standards which are in place to address environmental impacts and public concern. Nevertheless, the pace of development and stringency of regulations may not be sufficient to consider long term and cumulative impacts to both available water quantity and quality. Technologies such as centrifuges, coagulants, in situ combustion, and steam/solvent in situ recovery, are in development which will reduce quantity of water use and impacts to water quality from oil sands development. It is the role and responsibility of government to ensure regulations are in place which allow this resource to be developed in a manner which ensures long term sustainability.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.003
GPT teacher head0.201
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; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2010
Admission routes1
Has abstractyes

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