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Record W6986512375

Power and Violence: Disposability in the Israeli-Palestinian Conflict

2019· dissertation· en· W6986512375 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldEngineering
Topic3D Shape Modeling and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodDiafiltrationHyporeflexiaFusible alloyArticular cartilage damageHyperlactatemia
DOInot available

Abstract

fetched live from OpenAlex

Since 1967, Israeli settlements in the West Bank have plagued the Israeli-Palestinian conflict, and caused human rights and humanitarian issues for Palestinians. Despite calls from the international community to halt settlement development, Israel resists and continues to expand and populate settlements, threatening to annex them as Israeli state territory. This exploratory research into the issue of Israeli settlements brings to the forefront issues related to power, structural violence, and death, and explicates the concept of disposability within PACS. Disposability infers a relation between sovereign power and the ability to use or dispose of certain populations at ones’ discretion, reducing life to a state of essential nonbeing. By explicating disposability within PACS, the operations of power relations as well as power’s connection with violence and death within conflict can be further explored. This research is concerned with bringing to light these processes within the Israeli-Palestinian conflict, and in particular the issue of Israeli settlements.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.198
Teacher spread0.189 · 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
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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