An ecofeminist approach to the population growth – environment relationship: analysing water security discourse during the Second Palestinian Intifada
Bibliographic record
Abstract
Concerns about environmental security appear to have become a global trend in the past decades. In the occupied Palestinian territories (oPt), which are characterized by the decades-long Israeli-Palestinian conflict and the ongoing political instability accompanying it, an increase in such concerns has similarly been experienced, especially with regard to the topic of water security. Simultaneously, the oPt are characterized by a population growth rate that exceeds to a significant extent that of most other nations with a similar developmental status. This striking population growth rate can arguably be linked to the Palestinian nationalist movement and its surrounding discourse, which encourages high birth rates in order to win what is sometimes referred to as a ‘demographic battle’ between Israelis and Palestinians. The seemingly contradictory discourses, one regarding population growth and the other regarding environmental, specifically water security form the basis for the research topic of this thesis; the thesis conducts a Critical Discourse Analysis into water security discourse amongst Palestinian NGOs during the Second Intifada, a nationalist uprising taking place at the start of this century.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.025 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".