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Record W2117076741 · doi:10.1080/15567240600629534

Community-based Energy Model: A Novel Approach to Developing Sustainable Energy

2007· article· en· W2117076741 on OpenAlex
M. I. Khan, A. Chhetri, M. R. Islam

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnergy Sources Part B Economics Planning and Policy · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsDalhousie University
Fundersnot available
KeywordsEnvironmental economicsStoveRenewable energyEnergy managementSustainable developmentBusinessNatural resourceSustainabilityEnergy engineeringEnvironmental resource managementComponent (thermodynamics)Zero-energy buildingEnergy (signal processing)Environmental scienceEngineeringEconomicsWaste managementEcology

Abstract

fetched live from OpenAlex

Abstract Conventional energy development and management systems are centralized and grid-connected, making the setup vulnerable and unsustainable. In this paper, a new energy development and management model is proposed. This proposed approach aims at utilizing available natural resources and considers the community as the main stakeholder to implement the model. Locally produced wastes are considered as one source for generating energy to ensure “zero-waste” living. Some sustainable energy development techniques, such as cooking stoves, biofuel cells, green biodiesel, and direct solar energy, are also proposed. To justify this model, a case study was conducted in Mineville community of Nova Scotia, Canada, to show that local people can be self-reliant in terms of supplying their energy needs. This model is also preferred as a component in improving the local economy in a sustainable manner.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.244
Teacher spread0.214 · 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