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Record W2259704767

A Perspective of Indian Energy Sources, Depletion of Ozone Layer, and Threat to Life: An Overview

2015· article· en· W2259704767 on OpenAlexaboutno aff
M. K. Ghose

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsOzone layerOzone depletionNatural resource economicsConsumption (sociology)PovertyEnergy povertyEnergy consumptionMontreal ProtocolEnvironmental degradationResource depletionBusinessEnvironmental protectionEnvironmental planningEnvironmental scienceEconomic growthEconomicsEngineeringOzoneMeteorologyGeographySociologyEcology
DOInot available

Abstract

fetched live from OpenAlex

There has been a very high and positive growth in the consumption of all kinds of primary energy sources. This article focuses on the consumption of different primary energy sources and identifies that coal will continue to remain as the prime energy source in foreseeable future. It examines the energy demand and supply gap in India. Economic development and poverty alleviation depend on securing affordable energy sources. It discusses the strategies to be adopted for growth and meeting the country's energy demand. But such energy is very much concerned with environmental degradation and they must be driven by contemporary managerial acumen addressing environmental and social challenges effectively. Depletion of ozone layer and detection of ozone hole at the South Pole of earth is a very good example of human interference with the natural environment. Without this ozone layer, life on earth would not have evolved in the way it has. This article discusses the causes of ozone depletion, chemicals responsible, and the international agreements and other legislations, which have gone a long way to safeguard this lifesupporting shield.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.199
Threshold uncertainty score0.994

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)0.0010.000

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 head0.046
GPT teacher head0.270
Teacher spread0.224 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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