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Record W3113571175 · doi:10.1201/b11827-51

6 Climate change and biodiversity

2012· book-chapter· en· W3113571175 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicClimate Change and Environmental Impact
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsBiodiversityEnvironmental scienceClimate changeGeographyEcologyBiology

Abstract

fetched live from OpenAlex

It is reported that by 2100, the ecosystems will be exposed to substantial increase in the level of atmospheric CO2, much higher than in the past 650,000 years. Global temperature will also rise, at least among the highest, as compared to those experienced in the past 740,000 years. The increase in the level of atmospheric CO2, is a consequence of unbridled development in industries, transport and energy sector. Stern review of economics of climate change has projected an increase of CO2 equivalent (CO2e) of Green House Gases (GHG) from 430 parts per million (ppm) now to 550 ppm by 2035, almost double the level of CO2e prior to the industrial revolution. This is expected to warm up the atmosphere by 2◦C. The poor countries will be hit hard by the climate change. Life and property in coastal towns and island nations will be endangered. As the size of global economy is likely to grow 3 to 4 times the present level by 2035, emissions at that time will have to be brought down by 25% below the current level. Stern review has estimated that if climate change is not addressed to and mitigation and adaptive measures are initiated worldwide, it would eventually damage economic growth and cause major disruption in economic and social activity. It will increase flood risk, reduce crop yield and cause water scarcity. Many organisms are sensitive to carbon dioxide concentration in the atmosphere that may lead to disappearance of 15-40% of species. Projected sea-level rise is very likely to result in significant loss to coastal ecosystems of South-East Asia. Stability of wet lands, tidal forests with mangroves and coral reefs around Asia might be increasingly threatened. The annual of cost of achieving cuts in emission at the rate of 1-3% to stabilize CO2e level at 500-550 ppm will be 1% of GDP, a level significant but manageable (Stern, 2006). Protection of the atmosphere and reduction of GHG emissions is an important environmental issue today. Some pro active measures have been taken by few countries to check the global warming. The Canadian House of Commons has become the first parliament in the world to pass a climate act (the Climate ChangeAccountability Bill), which commits the country in reducing its GHG emissions from the present 80% to that of 1990 levels by 2050. New Zealand has pledged to become carbon-neutral.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.793
Threshold uncertainty score0.983

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0760.018

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 head0.095
GPT teacher head0.225
Teacher spread0.130 · 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

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

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