MétaCan
Menu
Back to cohort
Record W7165319797

Politics

2002· other· en· W7165319797 on OpenAlex
Aaron Roth

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMiCISAN · 2002
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFossil fuelNatural gasGuard (computer science)Energy sourceProduction (economics)PetroleumNatural resourceResource (disambiguation)
DOInot available

Abstract

fetched live from OpenAlex

O il is the lifeblood of any modern state, and Canada is no exception.It is limited in quantity and, once taken, can never be put back.The same, of course, is true of other fossil fuels such as natural gas and coal.However, the fuels that drive most industrial economies today are gasoline or diesel.Coal usage is minimal at best; and, while natural gas can be used as fuel for heating and cooking, as well as the making of certain products in its dry form, modern society is dependent on and, in some cases, built around, the extraction and production of oil. 1 As oil is such an important resource and source of wealth, great conflicts have arisen over controlling it.In the Canadian case, Westerners, particularly Albertans, still brood over the National Energy Program (NEP) 15 years after it ended, and they continue to guard crude like a mother protecting her child.Oil has made the province of Alberta, in particular, rich, and as a result has made other Canadian provinces envious.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.162
Threshold uncertainty score0.927

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)0.0740.236

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 head0.022
GPT teacher head0.252
Teacher spread0.231 · 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

Quick stats

Citations0
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueMiCISANFrench-language works237,207