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Record W3204417470 · doi:10.1007/s11625-021-01043-5

Crisis, transformation, and agency: Why are people going back-to-the-land in Greece?

2021· article· en· W3204417470 on OpenAlexafffund
Karina Benessaiah, Hallie Eakin

Bibliographic record

VenueSustainability Science · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaPierre Elliott Trudeau Foundation
KeywordsAgency (philosophy)LivelihoodAnticipation (artificial intelligence)SociologySocial transformationPolitical economySocial changePolitical scienceEconomic geographyEconomic systemEconomicsSocial scienceGeographyAgricultureLaw

Abstract

fetched live from OpenAlex

Transformations are fundamentally about agency: human intention, motivation, and power to influence and to resist. Most studies focus on deliberate system-level transformations, usually guided by a set of influential actors. However, system-level transformations may also occur as the result of the cascading effects of multiple individual transformations in response or in anticipation to various crises. Little is known about how crises foster these individual transformations, and how these may relate to different types of system-level change. This article fills this gap by looking at how crisis fosters two different types of agencies-internal and external-and how these link to individual transformations in the case of Greece's back-to-the-land movement whereby urbanites sought to reconnect with land-based livelihoods during the economic crisis (2008 onwards). The article draws on the qualitative analysis of 76 interviews of back-to-the-landers to further understand why people are going back-to-the-land (their motivations), how these relate to the concept of agency and individual transformation, and what implications might there be for system-level social-ecological transformations. This article makes three key points. First, crises create different opportunity contexts that may lead to rapid changes in what is valued in the broader social discourse. While social values and discourses are usually considered to be "deep levers" and slow to change, we found that they can rapidly shift in times of crises, challenging notions of the role of fast vs. slow variables in system transformations. Second, agency is needed to respond to crises but is also further catalyzed and enhanced through crisis; activating one's internal agency leads to personal transformations as well as collective transformations (linked to external agency), which are mutually co-constitutive. And third, systemic-level transformation emerges through multiple pathways including through the aggregation of multiple individual transformations that may lead to emergent system-level changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11625-021-01043-5.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0050.017
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.227
Teacher spread0.217 · 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 designObservational
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

Citations38
Published2021
Admission routes2
Has abstractyes

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