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Record W3175459436 · doi:10.1080/01426397.2021.1929888

‘We live and die in chestnut’: remaining and adapting in the face of pest and disease outbreak in Turkey

2021· article· en· W3175459436 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLandscape Research · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Interactions Research
Canadian institutionsUniversity of GuelphWildlife Conservation Society Canada
Fundersnot available
KeywordsLivelihoodAbandonment (legal)Empirical evidenceFace (sociological concept)GeographySociologyPolitical scienceAgricultureSocial scienceArchaeology

Abstract

fetched live from OpenAlex

Concern is growing worldwide over the negative outcomes of rural abandonment. Yet, problematisation of this phenomenon remains limited by insufficient explanatory frameworks and lack of empirical evidence from the conditions which precede, underlie and succeed it. Accordingly, this paper presents a case from Turkey, where significant rural abandonment is locally attributed to the ravages of multiple introduced pathogens in European chestnut (Castanea sativa) populations, and where our previous investigation has verified that traditional livelihood practices mitigate damage severity at the levels of trees, plots and landscapes. In order to better understand individual stakeholder motivations for remaining acting members of chestnut landscapes in the face of such serious challenges, we conducted 142 extended ethnographic and narrative interviews with chestnut-utilising participants across Turkey’s highly diverse human and physical geography. Our results show how the struggle to remain as acting landscape members requires community livelihood adaptation, drawing on institutional memory, innovative learning and social connectedness.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.057
GPT teacher head0.358
Teacher spread0.301 · 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