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Record W3217717076 · doi:10.1111/plar.12446

Eating Wild: Hosting the Food Heritage of Palestine

2021· article· en· W3217717076 on OpenAlexaff
Anne Meneley

Bibliographic record

VenuePoLAR Political and Legal Anthropology Review · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsTrent University
Fundersnot available
KeywordsHospitalityPalestineColonialismPower (physics)AestheticsSociologyHistoryEnvironmental ethicsArtAncient historyArchaeologyTourism

Abstract

fetched live from OpenAlex

Abstract This article examines the strategic use of an event of hospitality celebrating the Wild Foods of Palestine as part of a form of fertile activism. Artist Mirna Bamieh presented the dinner as a “live art” event where the positive power of food and Palestinian culinary distinction was highlighted more than victimhood. In a moment of pleasurable pedagogy, the guests learned about the preservation of knowledge about foraging precious wild plants and their preparation. They enjoyed traditional and innovative spins on Palestinian cuisine, absorbing the wild tastes of the land. By eliciting embodied responses, a moment of pleasurable convivial pedagogy was produced to inspire the guests to engage with activism against ongoing dispossession under Israeli settler colonialism. The wild plants themselves and the knowledge of how to process them were envisioned as a type of cultural heritage to be preserved as an archive for potential transformation. The event raised important possibilities for the futures of this particular kind of Palestinian activism: edible, fertile, aesthetic. [wild plants, foraging, cuisine, hospitality, settler colonialism, Palestine/Israel]

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.282
Teacher spread0.251 · 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.

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

Citations16
Published2021
Admission routes1
Has abstractyes

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