MétaCan
Menu
Back to cohort
Record W4416298906 · doi:10.3390/su172210252

Transition Pathways Towards Electromagnetic Sustainability in the Built and Lived Environment

2025· article· en· W4416298906 on OpenAlexaffabout
Riadh Habash, George Y. Baho

Bibliographic record

VenueSustainability · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSustainabilityAuditEnergy transitionUrban planningBuilt environmentEnvironmental auditKey (lock)Field (mathematics)

Abstract

fetched live from OpenAlex

Electromagnetic (EM) fields, as one of the basic forms of energy in the built and lived environment (BLE), present an environmental health challenge, yet they often remain an overlooked concern, particularly with the development of information and communication technologies (ICT) and energy systems. Although these fields are essential for the contemporary infrastructure, society needs to engage in a thorough discussion regarding their potential impact on health. In light of this, a commitment should be made to design and manage technologies and infrastructure that strive to lower EM pollution, while ensuring optimal functionality. Achieving this goal requires viable urban planning and sustainability strategies. The motivation of this study is to examine various instances to foster a deeper understanding of the EM in the BLE. It explores significant sources of exposure and major safety guidelines. A literature review and EM field audits in three locations within two cities in Canada and the UK have been provided to understand the trends and serve as a comparative sample. Key transition pathways towards EM sustainability have been proposed, including the establishment of observatory systems in urban locations, hygiene practices, risk governance, and an interplay between sustainability and technology.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.510

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 studies0.0000.000
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 head0.005
GPT teacher head0.237
Teacher spread0.232 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueSustainabilitySame topicElectromagnetic Fields and Biological EffectsFrench-language works237,207