MétaCan
Menu
Back to cohort
Record W7087614126 · doi:10.7202/1118932ar

Political Ideology, Community Openness and the Commons

2024· article· en· W7087614126 on OpenAlexvenueno aff

Bibliographic record

VenueSens public · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsnot available
Fundersnot available
KeywordsCommonsPoliticsIdeologyCommon-pool resourceTragedy of the commonsOpenness to experienceInvestment (military)Sustainability

Abstract

fetched live from OpenAlex

Vacant urban spaces are underutilized resources under threat that can be used to improve the quality of urban life and urban dwellers’ well-being. Yet, traditional (state or market oriented) approaches have failed to bring them to life, due to lack of necessary funds, investment interest or/and deficiencies in property rights. It has been argued (by scholars of different perspectives) that managing these spaces as commons constitutes a successful and sustainable practice, capable to address the social, political, environmental and nutritional needs of the respective community. Yet, the issue of defining this community remains controversial among commons’ scholars. Should the boundaries around the community be strict or fuzzy, and how important is group specification for the success of commons endeavours? The current paper aims to shed light to these questions. In particular, it seeks to explore the role that political ideology plays in prescribing community boundaries and the effect this (usually unspoken) rule has in the sustainable management of the resources. In doing so the paper employs the social–ecological systems (SES) framework to analyse two urban community garden initiatives of urban commons located in Athens, Greece, that differentiate on the degree by which membership is open and subject to political conviction. We find that adherence to a specific political ideology may increase community coherence but jeopardizes the sustainable management of the common resource, since the latter simply becomes a means of political expression, rather than the primacy concern of the group. This finding has certain implications for both theory and policy.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.013
Scholarly communication0.0040.001
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.259
Teacher spread0.241 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueSens publicSame topicLipid metabolism and biosynthesisFrench-language works237,207