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Record W7110670446

Els límits planetaris, les entitats noves i la biodiversitat. Una revisió sistemàtica del cas del glifosat

2025· dissertation· ca· W7110670446 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitat de Girona Digital Repository (Universitat de Girona) · 2025
Typedissertation
Languageca
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityBiospherePlanetary boundariesEcosystemGlyphosateFlora (microbiology)Climate changeThematic map
DOInot available

Abstract

fetched live from OpenAlex

This analysis focuses on the convergence of two planetary boundaries that have already been clearly exceeded: Biosphere Integrity and Novel 3. Glyphosate was selected as a paradigmatic case for this study, given its widespread global use as an herbicide. Employing the SALSA methodology, a systematic review of 191 scientific publications was conducted, revealing notable growth in publications related to this topic, especially since 2015, which coincides with the update of the planetary boundaries framework. The findings indicate a strong concentration of studies in Northern Hemisphere countries, such as Canada and the USA, while tropical ecosystems are scarcely represented. From a thematic perspective, 45% of the studies focus on biodiversity effects, yet only a small percentage (just 3.7%) directly link glyphosate with the planetary boundaries framework. Additionally, there is a methodological bias towards field studies, with a taxonomic emphasis mainly on flora and arthropods. The conceptual analysis of the study identified four main pathways of environmental impact caused by glyphosate: effects on pollinators, toxicity in aquatic environments, alteration of soil microbiota, and damage to non-target vegetation. These impacts, often potentiated by synergistic effects, generate negative feedbacks that endanger biosphere integrity, reinforcing the conclusion that glyphosate acts as a novel entity capable of severely destabilizing global ecological balance by impacting and reducing biodiversity

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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