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Record W2078004703 · doi:10.1191/0309132506ph588oa

Material worlds? Resource geographies and the `matter of nature'

2006· article· en· W2078004703 on OpenAlexaff
Karen Bakker, Gavin Bridge

Bibliographic record

VenueProgress in Human Geography · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMateriality (auditing)ConceptualizationSociologyPoliticsResource (disambiguation)Human geographyAcknowledgementEnvironmental ethicsSocial scienceEpistemologyEconomic geographyAestheticsGeographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Concepts of `materiality' are increasingly invoked in human geography. This paper discusses several recent and influential workings of materiality, and examines their implications for resource geographies. First, we identify a set of analytical questions at the heart of resource geography and characterize the dominant approaches to these questions - the `production of nature' and the `social construction of nature' - as yielding diminishing returns. Second, we survey recent work on materiality relating to commodities, corporeality and hybridity and advance the claim that this work provides a number of fresh perspectives with which to revive resource geography. Third, we highlight three specific themes within this research: a radical redistribution and decentering of agency; a revitalization of the concept of `construction'; and an acknowledgement of the political-economic implications that flow from a world that is biophysically heterogeneous. Finally, we draw on this analysis to explore how progress might be made in the conceptualization and empirical study of resources.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.042
Scholarly communication0.0070.016
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.003
GPT teacher head0.240
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

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 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

Citations784
Published2006
Admission routes1
Has abstractyes

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