Development in the time of climate change: an issue for ethics
Bibliographic record
Abstract
Introduction Climate change represents very significant impacts for the natural environment, as well as for the economy, health and security of many human communities. The recent report of the Global Humanitarian Forum, Climate Change – the Anatomy of a Silent Crisis (2009), clearly shows that poverty and extreme vulnerability to climate change are very closely associated. Even the rise of only one degree Celsius in average global temperatures can provoke famines, mass migrations and threats to public health in various parts of the globe. The global effects of climate change are especially harmful to the less well-off sectors of the world population, which, however, have contributed much less to global warming than the better-off sectors. In order to obtain action that will take into account those who are most vulnerable to climate change, several factors need to be considered with care. Here we will limit ourselves to the introduction of three topics that will require more indepth study. We begin with a brief assessment of the role of communication and public education strategies designed to raise awareness and engage the broad participation of citizens in responses to climate change. Next, we take note of the interplay of poverty and climate change from the perspective of environmental justice and international governance. After this, we propose that development merely be thought of as a matter of economic growth, supplemented by consideration through values such as well-being and equity, but also in terms of human security. Our conclusion is that, in the time of climate change, the increasing vulnerability of marginalised sectors of the world population requires that development be addressed in a new way.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".