Blue Future: Protecting Water for People and the Planet Forever
Bibliographic record
Abstract
BLUE FUTURE: PROTECTING WATER FOR PEOPLE AND THE PLANET FOREVER Maude Barlow Toronto: House of Anansi Press, 2013 Maude Barlow--Senior Advisor on Water to former United Nations General Assembly President Miguel d'Escoto Brockmann in 2008 and 2009, National Chairperson of the Council of Canadians, and chairperson of the Food and Water Watch board--is truly an expert on global water issues. Blue Future is the final instalment in Barlow's Blue series, a series which underscores the seriousness of the world's water crisis. In Blue Future, Barlow looks at water management from historical, geographical, ecological, social, political, and economic perspectives and reaches the same conclusion every time: water must be established as a public trust for the good of both humanity and the rest of the world. In her book, Barlow lays out the important work that has already been done in the name of water justice and the significant work that remains to be done. Her solutions to the water problematic follow four key principles: 1) water is a human right, 2) water is a common heritage, 3) water has rights too, and 4) water can teach us how to live together. Through these four principles, Barlow lays out the current state of water politics. She emphasizes the necessity of legally recognizing water as a human right and establishing it as a public trust, noting the disastrous effects of privatization and commodification of water. She argues that while protecting water sources is of great benefit to humans, water does not merely exist for our benefit; we are part of our ecosystems and we must respect that. She also highlights the fact that water inequality is directly linked to global social and economic inequality. Instead of focusing on one region or on a handful of water basins, Barlow provides a diversity of examples of water injustice from around the world--showing that water injustice is truly a global issue--and emphasizes that while impacts of a lack of clean, affordable, accessible, and sustainable water supplies are often felt most in developing countries, water inequality is not only between rich and poor countries but also within countries. Examples of Detroit and Attawapiskat represent several cases of poorer racialized communities in urban centres as well as neglected First Nation reserves lacking adequate public water. Barlow is also diverse in her relation of activist movements fighting back against corporations and governments who see water principally as a money maker, citing inspiring examples from nearly every continent. …
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.010 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.055 | 0.022 |
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 source (direct Gemma or distilled Codex), 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".