MétaCan
Menu
Back to cohort
Record W2942563146 · doi:10.1016/j.cpa.2019.04.004

Fossil fuel reserves and resources reporting and unburnable carbon: Investigating conflicting accounts

2019· article· en· W2942563146 on OpenAlex

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.

Bibliographic record

VenueCritical Perspectives on Accounting · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFossil fuelGreenhouse gasValuation (finance)BusinessCarbon accountingNatural resource economicsCapital marketStock (firearms)AccountingClimate changeEconomicsFinanceEcology

Abstract

fetched live from OpenAlex

This paper investigates fossil fuel reserves and resources disclosures and how they might change in response to global climate change agreements that seek to limit greenhouse gas emissions. On the one hand, it might be expected that fossil fuel firms will be less valuable if their reserves become ‘unburnable’. On the other hand, capital markets currently assign a positive value to fossil fuel reserves and resources. A conundrum, therefore, exists. Given that accounting disclosure rules underpin capital market valuation processes, this setting provides an opportunity to interrogate the functionality of accounting during a time of change. To achieve this goal, a multi-methods investigation has been undertaken; combining a survey of accounting disclosure rules for reserves, identification of accounting disclosures made by fuel firms in several country stock markets, and stock market participants’ views on the extent to which unburnable carbon exists. Using Miller and Power (2013) we identify when and how unburnable carbon could be recognized in corporate reporting.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.088
GPT teacher head0.314
Teacher spread0.227 · 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