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Record W3112404360 · doi:10.18357/bigr21202019924

Israel / Palestine Borders and the Impact of COVID-19

2020· article· en· W3112404360 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBorders in Globalization Review · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)West bankPalestine2019-20 coronavirus outbreakGovernment (linguistics)Work (physics)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Political scienceGeographyDemographic economicsDevelopment economicsHistoryMedicineEconomicsAncient historyEngineeringVirology

Abstract

fetched live from OpenAlex

This short paper reviews the ways in which the Israeli government has managed the impact of COVID-19, with a special emphasis on the diverse border regimes—from the national to the personal. Israel has experienced two distinct phases of COVID-19, the first involving relatively low infection rates, jumping to high figures during a second phase. Two distinct borders are emphasized, the national airport through which ninety percent of travelers in and out of the country enter and which has been virtually closed down during most of the COVID-19 period, and the barriers operating between Israel and the West Bank, through which tens of thousands of Palestinian workers commute daily into Israel for employment, many of whom are now unable to work due to COVID-19 related restrictions on their movement across the border.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.427
Teacher spread0.386 · 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