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Record W4400619515 · doi:10.1016/j.apgeog.2024.103342

Troubled waters at the frontier: Mapping forest-dependent people's access to surface water in the Dry Chaco

2024· article· en· W4400619515 on OpenAlexafffund
Patrice Soraya Matthews, Matthias Baumann, Christian Levers, Tobias Kuemmerle, Yann le Polain de Waroux

Bibliographic record

VenueApplied Geography · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsMcGill University
FundersH2020 European Research CouncilHorizon 2020European Research CouncilEuropean CommissionUniversidad Nacional de San LuisSocial Sciences and Humanities Research Council of CanadaHorizon 2020 Framework ProgrammeMcGill University
KeywordsLivelihoodFrontierGeographyHuman settlementSurface waterDry seasonAgricultureHydrology (agriculture)Water resource managementForestryPhysical geographyEnvironmental scienceCartographyGeologyArchaeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

• We analyzed changing access to surface water for smallholders in the Dry Chaco. • The most useful types of surface water for local livelihoods were the rarest. • Agricultural expansion worsened access to all surface water types. • Access to the most useful surface water decreased slightly more than to other types. • Disappearance of human settlements correlated with reduced access.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.010
GPT teacher head0.250
Teacher spread0.240 · 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 designObservational
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

Citations6
Published2024
Admission routes2
Has abstractyes

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