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Record W7028008285

An ecofeminist approach to the population growth – environment relationship: analysing water security discourse during the Second Palestinian Intifada

2019· dissertation· en· W7028008285 on OpenAlexfundno aff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
FundersUniversity of OxfordYork University
KeywordsPopulation growthPopulationEnvironmental securityNationalismWater securityPoliticsDiscourse analysis
DOInot available

Abstract

fetched live from OpenAlex

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.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.221
Teacher spread0.213 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2019
Admission routes1
Has abstractyes

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