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Record W2921297707 · doi:10.1111/1467-9655.13015

Orphaned wells, oil assets, and debt: the competing ethics of value creation and care within petrocapitalist projects of return

2019· article· en· W2921297707 on OpenAlexaboutno aff
Caura Wood

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsInsolvencyCorporationDebtAsset (computer security)Value (mathematics)Work (physics)ObligationBusinessFossil fuelBalance sheetFinanceLawPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Abstract This essay explores the phenomenon known as ‘orphaned wells’, meaning unprofitable oil and gas wells (‘legacy wells’) that have become disentangled from their corporate owners owing to insolvency, or owing to a failure to comply with local regulations. Drawing from an ethnographic example of a near‐insolvent oil and gas corporation in Alberta, Canada, and its strategies of refinancing, the essay explores how value creation and the moral force of the obligation to create a financial return give rise to a ‘durational ethics’ that shapes corporate and financial performativities and prolongs the ‘life’ of legacy oil and gas assets. Legacy assets, understood as potential orphans, are thus caught up in a lively corporate practice of asset circulation and recombination often deployed by producers for the moral work of ‘cleaning balance sheets’. This essay calls for ‘thinking with orphans’ to recognize the competing ethical registers which produce them in addition to the growing need for responsibility and corporate care for legacy oil and gas assets.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.304
Teacher spread0.282 · 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 designObservational
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

Citations11
Published2019
Admission routes1
Has abstractyes

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