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Record W4206696411 · doi:10.5194/soil-2020-38

Soil: the great connector of our lives now and beyond COVID-19

2020· preprint· en· W4206696411 on OpenAlexaff
Rosa M. Poch, Lúcia Helena Cunha dos Anjos, Rafla Attia, Megan R. Balks, Adalberto Benavides‐Mendoza, Martha Marina Bolaños Benavides, Costanza Calzolari, Lydia M. Chabala, Peter C. de Ruiter, Samuel Francke-Campaña, F. García Préchac, Ellen R. Gräber, Siosiua Halavatau, Kutaiba M. Hassan, Edmond Hien, Ke Jin, Mohammad Iqbal Khan, M. V. Konyushkova, David A. Lobb, Matshwene E. Moshia, Jun Murase, Generose Nziguheba, A. K. Patra, Gary M. Pierzynski, Ronald Vargas Rojas

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicHealthcare and Environmental Waste Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsResilience (materials science)BusinessSoil governanceEnvironmental planningAgricultureProduction (economics)Food processingFood securityEnvironmental resource managementNatural resource economicsGeographyEnvironmental scienceSoil waterPolitical scienceEconomicsSoil health

Abstract

fetched live from OpenAlex

Abstract. Humanity depends on the existence of healthy soils, both for the production of food and for ensuring a healthy, biodiverse environment, among other functions. COVID-19 is threatening food availability in many places of the world due to the disruption of food chains, lack of workforce, closed borders and national lockdowns. As a consequence, more emphasis is being given to local food production, which may lead to more intensive cultivation of vulnerable areas and to soil degradation. In order to increase the resilience of populations facing this pandemic and future global crises, transitioning to a paradigm that relies more heavily on local food production on soils that are carefully tended and protected through sustainable management, is necessary. To reach this goal, the Intergovernmental Technical Panel on Soil (ITPS) of the Food and Agriculture Organization of the United Nations (ITPS) recommends five active strategies: improved access to land, sound land use planning, sustainable soil management, enhanced research, and investments in education and extension.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.664
Threshold uncertainty score0.480

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 science0.0000.001
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 head0.064
GPT teacher head0.330
Teacher spread0.266 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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