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Record W3195153027 · doi:10.51846/the-sky.v3i0.229

GLOBAL WARMING AND CLIMATE CHANGE AND SPORTS

2019· article· en· W3195153027 on OpenAlexaboutno aff
Shamshad Akhtar, Muhammad Rafique Dhanani

Bibliographic record

VenueTHE SKY-International Journal of Physical Education and Sports Sciences (IJPESS) · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGlobal warmingClimate changeGlobal temperatureEnvironmental scienceGreenhouse gasGlacierClimatologyGlobal changeGreenhouse effectGlobal coolingFuture sea levelClimate commitmentEffects of global warmingArcticAtmospheric sciencesPhysical geographyCryosphereGeographyOceanographySea iceGeologyAntarctic sea ice

Abstract

fetched live from OpenAlex

Climate change is not the new phenomenon. The palaeo-climatic studies reveal that during the Pleistocene and Holocene periods several warm and cold periods occurred, resulted change of sea level and change in climatic processes like rise and fall of global average temperature and rainfall. The last medieval warm period was observed from 950 to 1350 AD, followed by the little Ice Age from 1400 to 1900 AD. Occurrence of these climatic changes and their impacts are considered due to natural processes that are geological and astronomical. In 1970s environmentalists and some climate scientists pointed that earth’s average temperature is rising linked with the anthropogenic causes of global warming and emission of carbon dioxide through fossil fuels. In late 1980s the problem was discussed in politics and media. To examine and monitor the global rise of temperature and its impacts due to the emission of carbon dioxide an organization of Intergovernmental Panel on Climate Change (IPCC) was created in 1988 by United Nations Environment Programme (UNEP). The IPCC released several reports based upon anthropogenic causes of climate change and their impacts. According to IPCC, 2007 report on climate change during the last 100 years the earth’s average temperature has increased up to 0.6 degree Celsius and if emission of greenhouse gases particularly carbon dioxide continues to rise, global temperature will rise up to 5.8 degrees Celsius by the end of 2100 AD. Similarly as a result of this threat of global warming, glaciers will disappear even from Antarctica and Arctic sea will open for navigation throughout the year. Many islands and coastal cities will submerge as a result of sea level rise. In 2004 Canadian Broadcasting T.V presented a documentary with the name “ The doomsday called off” in which leading climate scientists, astrophysicist and geophysicist presented evidences that science of global warming presented by IPCC scientists is incomplete and incorrect based upon computer models and stimulations which are deliberately exaggerated. Many climate scientists have shown disassociation with the IPCC views and speculations on the basis of its doubtful manipulated and exaggerated figures of global warming and some consider it a climate scam. Since then debate between UN pro man-made global warming scientists and anti-man-made global warming climate scientists continue.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0610.009

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 head0.014
GPT teacher head0.303
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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