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Record W4414103983 · doi:10.1016/j.nxener.2025.100410

Burning dung cake as a household fuel: A review

2025· article· en· W4414103983 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

VenueNext Energy · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCow dungContext (archaeology)Crop residueEnergy sourceEnergy densityAnimal wasteManureDung beetle

Abstract

fetched live from OpenAlex

Millions of households in developing countries burn dung cakes made from common farmyard manure to fulfil their household energy needs. Localised studies investigate dung cake use and its impact. However, a comprehensive review of the social practice of dung cake use as a household fuel and its impact are not available. Our exploratory systematic review on the social practice of burning dung as fuel and its impacts, reveals that due to their higher emissions than fuelwood and crop residue, dung cakes are primarily situated at the bottom of the energy ladder and are used as a niche fuel by energy-poor households. This review underscores the notable absence of knowledge about the social practice of dung cake as a fuel. Our study on the practice of burning dung cake as household fuel, dung cake users, their communities, and the context they are using dung cake helps to identify policy strategies as part of the clean energy transition, to benefit communities and improve global clean cooking practices. We highlight the importance of identifying cost-effective behavioural changes and context-specific solutions to accelerate the clean cooking transition in these communities.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.998

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)0.0030.000

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 head0.012
GPT teacher head0.226
Teacher spread0.213 · 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