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Record W3017027586 · doi:10.1177/2514848620917516

Hope in the ruins: Seeds, plants, and possibilities of regeneration

2020· article· en· W3017027586 on OpenAlexafffund
Anne Meneley

Bibliographic record

VenueEnvironment and Planning E Nature and Space · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsTrent University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFlourishingEnvironmental ethicsValue (mathematics)Agency (philosophy)SociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

As space in the West Bank is increasingly threatened, Palestinians are turning to agro-activism to reclaim it. Alongside the established olive activism, there has been a flourishing of generative projects by which my interlocutors attempt to reclaim their space from the environmental damages of the ongoing occupation. I situate these regenerative practices in anthropological discourses about imperial ruins and the blasted landscapes of capitalist ruins. In Palestine, the debris of Israeli military incursions and the ruination of the environment with “security” infrastructures like the Wall produce ongoing occupation ruins. However, as in Tsing’s work—where ruins are presented as productive of new possibilities—here, too, hope underpins my interlocutors’ projects of planting, saving, and regenerating seeds. Their projects involve reclaiming nature through heritage seeds, eco-farming initiatives, farming cooperatives, and food circulation initiatives, thereby encouraging Palestinian food reclamation. Through their activism, Palestinians regenerate a sense of value in themselves and their futures as they attempt to reclaim their landscapes in an embodied way, rather than giving in to ruination.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.153

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 studies0.0000.000
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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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 designQualitative
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

Citations23
Published2020
Admission routes2
Has abstractyes

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