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Record W4282922693 · doi:10.17742/image.pm.13.1.1

Introduction to Critical and Creative Engagements with Petro-Media

2022· article· en· W4282922693 on OpenAlexaffvenueabout
Emily Roehl, Rachel Webb Jekanowski

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsScholarshipIndigenousPoliticsSociologyMedia studiesVariety (cybernetics)Identity (music)ColonialismAestheticsPolitical scienceHistoryArtArchaeologyLaw

Abstract

fetched live from OpenAlex

The production of oil is imbricated in financial and socio-political systems as well as ways of mediating the worlds in which we live. Like infrastructures used to transport fuel, audio-visual media and other forms of cultural production (museums, poetry, film, visual art) can serve as conduits for ideas about energy, identity, relationships to the nonhuman world, and history. This special issue of Imaginations on “Critical and Creative Engagements with Petro-Media” explores how media has been used to examine petroleum’s place within Canadian and American cultural landscapes as well as oil’s attendant socio-political and economic structures. Given our location on occupied Indigenous territories where we work as researchers and educators, we assert that energy developments are always already implicated within histories of white settlement in North America. Drawing on literary and film studies, energy humanities scholarship, critical museum studies, and a variety of creative and analytical research methods, the contributors to this issue theorize contemporary and historical practices of corporate petro-media alongside creative interventions to trace the interlacing of oil, media, and settler colonialism.

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 categoriesScience and technology studies, Insufficient 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: Empirical
Teacher disagreement score0.258
Threshold uncertainty score1.000

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 studies0.0010.010
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.328
Teacher spread0.313 · 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
Published2022
Admission routes3
Has abstractyes

Explore more

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