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Record W2999060028

Tar Wars: Oil, Environment and Alberta's Image, by Geo Takach

2019· article· en· W2999060028 on OpenAlexfundaboutno aff
Gordon Alley‐Young

Bibliographic record

VenueCUNY Academic Works (City University of New York) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOil sandsGeologyGeographyArchaeologyAsphalt
DOInot available

Abstract

fetched live from OpenAlex

When environmental preservation and human health are put in jeopardy by Alberta's oil industry, largely overseen by global corporations, ideally the best minds on the issues would engage a nonpartisan dialogue that respects the human, cultural, environmental, and economic interests at play.Tar Wars: Oil, Environment and Alberta's Image by Geo Takach, examines how the debates over Alberta's bituminous oil sands projects (i.e., known popularly as the tar sands) were conducted via a filmic battle between filmmakers, global corporations, and governments to define Alberta's image amidst its bitumen boom.Takach's study "questions the ultimate utility of using film and video as media in the discourse of Alberta and the bit-sands" (p.157).While film can also advance drama over scientific detail and nuance, it can also rally public support to stave off potential disasters.Takach's study attempts to explore how identity is constructed through communication, here documentary and promotional film, so that readers might take the insights of the study to critically engage issues of ecological, economic, and human interest in their own communities through film/media.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.426
Threshold uncertainty score0.992

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.020
GPT teacher head0.188
Teacher spread0.168 · 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 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

Citations0
Published2019
Admission routes2
Has abstractyes

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