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Record W4399746078 · doi:10.1038/s41893-024-01381-z

Characterizing culture’s influence in land systems

2024· article· en· W4399746078 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

VenueNature Sustainability · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsMcGill University
FundersEidgenössische Technische Hochschule Zürich
KeywordsGeography

Abstract

fetched live from OpenAlex

Abstract Group-shared attributes, coded in cultural systems, heavily influence how land is used. Despite recent advances in behavioural theory, the central role of culture in land-use decision-making and linked sustainability outcomes is underexplored. We expanded on institutional analysis and system-dynamics frameworks to analyse 66 studies that causally link culture to land use. We found that most studies focus on norms, practices, values or meanings. These can lead actors to maintain a particular land use, which is coded into cultural systems, adding to the land system’s resilience. Internal group events or changes in structural factors can also lead to shifting norms and values, changing land use or destabilizing systems, leading to new system dynamics or resistance to new feedbacks. Our findings further link cultural underpinnings of land systems to positive and negative sustainability outcomes. We call for further research on the role of culture in land-system dynamics.

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 score0.120
Threshold uncertainty score0.505

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.005
GPT teacher head0.238
Teacher spread0.234 · 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