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The environmental statehood of ecological restoration: An institutional analysis of three regulatory case studies

2025· article· en· W4407969521 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal Environmental Change · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsnot available
FundersLionel Murphy FoundationMcGill University
KeywordsEnvironmental regulationPolitical scienceEcologyEnvironmental planningGeographyEnvironmental resource managementBiologyEnvironmental science

Abstract

fetched live from OpenAlex

• Regulation hinders ecosystem recovery following ecological restoration. • Regulatory frameworks paradoxically seek to legitimise land degradation and environmental protection. • Applying the concept of environmental statehood assists in elucidating regulatory barriers to recovery. Throughout Australia, social-ecological systems are in decline. Ecological restoration has been identified as a key process for reversing this decline, but the recovery of social-ecological systems following ecological restoration is rare. As ecological restoration is a social practice as much as it is a natural science practice, regulatory frameworks have a key role to play in either promoting or impeding recovery. This paper investigates how institutions in the regulatory space for ecological restoration approach recovery and identifies the drivers for regulatory instruments through a multi-level institutional analysis of three regulatory case studies across Australia. The findings from the institutional analysis demonstrate a paradox in the regulation of ecological restoration as it shows that the regulatory frameworks are actually contributing to low recovery rates. Ecological restoration is often regulated by the same regulatory frameworks that regulate land degradation and the regulatory systems continue to articulate the value of land degrading activities, with ecological restoration a way of avoiding state liability. Drivers for regulatory reform are then often market orientated. These findings all demonstrate what has been called an environmental statehood; that is, the way in which modern states engage with social-ecological issues, only continues to reinforce land degradation. The role of the state, state institutions and regulation is often overlooked in studies addressing socio-ecological resilience and adaptation, despite the central role of these institutions in the management of socio-ecological systems. This paper adds to the growing scholarship that addresses this research gap by contributing an empirically informed analysis of the regulation of ecological restoration in Australia.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.884

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.281
Teacher spread0.236 · 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