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Record W1550771986 · doi:10.5070/g312910817

Review: Climate Change: The Science, Impacts and Solutions

2010· article· en· W1550771986 on OpenAlexaboutno aff
Elery Hamilton‐Smith

Bibliographic record

VenueElectronic Green Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsExcuseClimate changeWitnessPublishingValue (mathematics)Scale (ratio)Environmental ethicsPolitical scienceHistoryGeographyLawPhilosophyComputer scienceCartographyEcology

Abstract

fetched live from OpenAlex

Review: Climate Change: The Science, Impacts and Solutions By A. Barrie Pittock Reviewed by Elery Hamilton-Smith Charles Sturt University, Australia Pittock, A. Barrie. Climate Change: The Science, Impacts and Solutions. Melbourne, Australia: nd CSIRO Publishing ,2009. xvi + 350 pp. 2 edition. ISBN 9780643094840. AU$49.95, paper. This is indeed a comprehensive book which is, quite remarkably, both passionate and objective. Certainly at this point in time, there is a great debate, often inadequately informed, about many aspects of climatic change. There are even those claim there is no climatic change! But there is little excuse for those who deny change or fail to accept that wide scale action by all governments is a vital priority. In writing from his long experience in climate research and his critically inquiring mind, Pittock provides the most comprehensive text which succeeds in examining all aspects across the whole world. There is no other text which rivals its depth of summary and quality of critical analysis. The evidence presented draws on not only recent experience, but from the last 10,000 years. Of course, there are inevitably some uncertainties about the future, simply because environmental changes are dynamic, ubiquitous and continuous. But it is clear that there are high probabilities of many risks and we can already witness many of these occurring before our own eyes both earlier and on a larger scale than was generally anticipated. I particularly value the thorough review of various mitigation strategies which might be adopted. Pittock combines his scientific understandings of these strategies with a realistic appreciation of the economic, social and political processes and forces which will shape decisions and expedite or impede implementation of programs. I thoroughly examined this section of the book from the perspective of my own lifetime of experience at the decision-implementation interface. Probably the greatest challenge is to bring about greater equity on the international level. The appalling exploitation and oppression of the African continent means it is extremely vulnerable to changes in climate. The risks may become even worse as the rich nations continue their long- standing pattern of exploitation and irresponsibility towards the African continent. Only a truly massive move to greater equity can genuinely save most countries and peoples of the continent. But the forces of inequity are both external and internal. Within this unhappy situation, the internal forces of inequity are probably the most powerful and the least likely to change. This is probably the best available reference for decision-makers. I have a great admiration for it but It opens the door to both hope and desperation. I try to persist in my sense of hope and optimism. But at the same time, I cannot escape an underlying fear that the normal processes of human greed, particularly by the powerful, will continue to damage our prospects for the future. Elery Hamilton-Smith , Professor, Charles Sturt University, Australia, P.O. Box 36, Carlton South, Victoria 3053, Australia. TEL: 613-9489-77850. Electronic Green Journal, Issue 29, Winter 2009, ISSN:1076-7975

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)0.003
metaresearch head score (Gemma)0.013
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: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0050.010
Science and technology studies0.0010.001
Scholarly communication0.0060.006
Open science0.0030.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0250.014

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 head0.090
GPT teacher head0.350
Teacher spread0.260 · 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
GenreReview

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
Published2010
Admission routes1
Has abstractyes

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