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Record W4408904732 · doi:10.5751/es-15792-300138

The seeds’ substrate: a concept to understand how transformations toward Good Anthropocenes can be enabled

2025· article· en· W4408904732 on OpenAlexvenueno aff
Ignacio Gianelli, Micaela Trimble, Silvana Juri, Laura Pereira, Blanca González‐Mon, Sebastián Villasante

Bibliographic record

VenueEcology and Society · 2025
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
FundersMarcus och Amalia Wallenbergs minnesfondVetenskapsrådetSvenska Forskningsrådet FormasUniversidade de Santiago de CompostelaUniversity of the Witwatersrand, Johannesburg
KeywordsSubstrate (aquarium)EcologyComputer scienceBiology

Abstract

fetched live from OpenAlex

The importance of connectedness in laying the ground for social-ecological transformations or in spreading new ideas and practices for transformation is increasingly recognized. However, the role of networks in supporting the emergence and growth of seeds (initiatives with the potential to positively shape the future) has not yet been comprehensively studied empirically. To this end, we introduce a novel concept, the seeds’ substrate, to characterize: (1) the relationships among a network of seeds, (2) the support needed for seeds to appropriately scale and coalesce, and (3) the actors that enable and provide support. The seeds’ substrate concept was theoretically informed and empirically derived by using a case study of an ongoing coalescing process. On this basis, we derived several categories and definitions for seeds interactions, types of support, and supporting actors that collectively constitute the seeds’ substrate. Specifically, we identified seven types of interactions between seeds, nine types of support, and 14 different categories of supporting actors. Furthermore, we presented a multi-level network approach to analyze the seeds’ substrate and test specific hypotheses within this modeling approach. By putting the seeds’ substrate concept into practice in an ongoing coalescence process involving 11 seeds around the small-scale fisheries food system in Uruguay, we identified the network of seeds and the constellations of actors and interactions that preceded efforts to deliberately foster a seed coalition. This allowed us to anticipate synergies and conflicts and to identify key supporting actors that structure the seed substrate. In addition, we derived a comprehensive baseline against which to quantitatively compare the unfolding of the coalescence process over time. This paper contributes to filling a gap in the Seeds of Good Anthropocenes literature and unpacks a key but largely unexplored subprocess of its theory of change: the transition from periods of experimentation to periods of coalescence. We expect the seeds’ substrate concept to be useful in a wide and diverse range of social-ecological contexts.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.929

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 studies0.0010.001
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 head0.016
GPT teacher head0.279
Teacher spread0.263 · 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 designTheoretical or conceptual
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

Citations5
Published2025
Admission routes1
Has abstractyes

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