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Record W2082134014 · doi:10.1007/s11027-005-9022-5

Exploring the Theoretical Interface of Climate Change and Resource Dependency: Application to the Vulnerability of Boreal Forest Regions

2006· article· en· W2082134014 on OpenAlexaff
Debra Straussfogel

Bibliographic record

VenueMitigation and Adaptation Strategies for Global Change · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicEcosystem dynamics and resilience
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsVulnerability (computing)Climate changeEnvironmental resource managementAdaptive capacityResource (disambiguation)BlueprintPsychological resiliencePremiseTaigaSociologyComputer scienceGeographyEcologyEnvironmental scienceEpistemologyPsychologyEngineeringSocial psychologyForestryComputer security

Abstract

fetched live from OpenAlex

This paper addresses the combined effects of two sources of disturbance on the boreal forest – climate change and the economic relations of industrial forestry. It describes a theoretical blueprint constructed of concepts from the theory of dissipative structures (derived from the discipline of physical chemistry) and world-systems theory (derived from the discipline of sociology) into a proposed integrated theory pivoting on the concept of social vulnerability. The goal is to examine the key concepts of this theory – vulnerability, resilience and adaptive capacity – as elements of the complex systems perspective provided by dissipative structure principles. The focus on social vulnerability provides the means to establish the role of external economic linkages relevant to industrial forestry – the core/periphery relations of the world-system – as they influence the social vulnerability of the boreal forest SESs. These systems are posited as embedded peripheries, following world-system criteria, and as the focal scale of analysis within a larger hierarchically organized dissipative structure. The goal is to suggest and stimulate ideas for further discussion and exploration, motivated by the premise that any successful climate change mitigation efforts depend on having sound theoretical foundations on which to stand.

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 score0.873
Threshold uncertainty score0.419

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 studies0.0000.000
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 head0.047
GPT teacher head0.273
Teacher spread0.226 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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