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Record W319467552

The Evolving Indian Narrative

2013· article· en· W319467552 on OpenAlexaboutno aff
Vijay Sakhuja

Bibliographic record

VenueINDIAN FOREIGN AFFAIRS JOURNAL · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostArcticEnvironmental scienceSea iceAtmosphere (unit)Northern HemisphereTonneOceanographyPhysical geographyEarth scienceAtmospheric sciencesGeologyGeographyMeteorology
DOInot available

Abstract

fetched live from OpenAlex

The Arctic sea ice hit its lowest extent in 2012. The ice has also thinned, and the mean ice draft, i.e. the ice extending below the surface of water at the end of the melt season, has reduced. The water flowing from the Atlantic into the Arctic Ocean is approximately 2°C warmer than nearly 2000 years ago. Also, nearly 25 per cent of the permafrost and icy soil in the northern hemisphere could defrost. Permafrost is frozen soil that can be hundreds of metres deep. Scientists have predicted that thawing permafrost will result in nearly 300 to 400 billion tonnes of methane released into the atmosphere; and that if all Siberian permafrost thawed and released its carbon in the form of heat-trapping carbon dioxide, it could nearly double the 730 billion metric tonnes of carbon now in the atmosphere.Soot emitted by inefficient industrial processes such as the burning of fossil fuels and natural-gas flaring, biomass decomposition and vegetable matter decomposition and smoky cooking appliances has also contributed to global warming. Using satellite data and computer models, a study by NASA scientists has concluded that black carbon may have a significant warming impact on the Arctic. The research notes that nearly 33 per cent of the soot that originates in South Asia is from burning biomass or vegetation; the balance is from Russia, Europe and North America.The research also shows that the Arctic could be ice-free seasonally in the next two to three decades. These changes offer a mixed bag of opportunities and challenges. The opportunities emerge in the form of new routes and resources - living and non-living. The challenges relate to the possible adverse impact on the Arctic environment, flora and fauna and fish stocks in the region. The human footprint in the form of tourism and infrastructure would impact the fragile ecosystem, including the lifestyles of the indigenous people. Besides, they are now confronted by the oil and gas companies making a beeline to exploit the resources in the region.The thawing of permafrost could also adversely impact the infrastructure erected on it, such as collapse of buildings, cracking of roads and rail tracks, and rupturing of oil pipelines.Routes and ShippingIssues related to shipping routes through the Arctic are fast gathering momentum. The Northern Sea Route (NSR) is expected to cut sailing distance between Yokohama in Japan to Rotterdam in the Netherlands by nearly 5000 nautical miles, saving approximately 10-15 days of passage time. However, the route is still underdeveloped due to lack of charts, navigation aids and port infrastructure for repairs; the search-and-rescue resources are also still to be developed.In 2012, as many as 46 vessels sailed through the NSR (25 eastbound and 21 westbound) compared with 34 voyages in 2011 and only four in 2010. Nearly 1.30 million tonnes of cargo was shipped through the NSR in 2012 compared with over 800,000 tonnes in 2011. As many as 26 tankers (18, west-east and 8 east-west) carried nearly 900,000 tonnes of oil and gas and other petroleum products. An LNG tanker sailing from Hammerfest in Norway to Tobata in Japan covered more than 6000 miles through the NSR, saving nearly twenty days. It is believed that by 2015, the Arctic will be ice-free during the summer, allowing more ships to sail across. Shipping companies are developing strategies for exploiting the new route. Importantly, in 2006, a total of 262 ice-class ships were being built, and an additional 234 ice-strengthened ships were scheduled for delivery by 2012-13.Resources in the Arctic RegionThe Arctic's energy and mineral resources are geographically exploitable. The 2008 US Geological Survey report notes that over 70 per cent of the undiscovered Arctic oil resources are in five areas - Alaska, Amerasia Basin, East Greenland Rift Basins, East Barents Basins, and West Greenland-East Canada. More than 70 per cent of the undiscovered natural gas is in the West Siberian Basin, the East Barents Basins, and Arctic Alaska. …

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score1.000

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 studies0.0080.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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.

Study designQualitative
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
Published2013
Admission routes1
Has abstractyes

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Same venueINDIAN FOREIGN AFFAIRS JOURNALSame topicArctic and Russian Policy StudiesFrench-language works237,207