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Digital soil resource inventories: status and prospects

2004· article· en· W1998652889 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSoil Use and Management · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil Geostatistics and Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsMetadataScale (ratio)Digital soil mappingResource (disambiguation)Computer scienceEnvironmental resource managementEnvironmental scienceSoil mapGeographySoil waterWorld Wide WebSoil scienceCartography

Abstract

fetched live from OpenAlex

Abstract. This article presents an inventory of digital soils data and supporting information available or publicized on the World Wide Web. The amount and quality of digital soil survey information at global, national, regional, and local scales is increasing dramatically. Some is freely available on‐line, some is available on CD‐ROM and only publicized, not distributed, on the Web. The world is completely mapped at small scale. Many regions are covered by medium‐scale inventories, especially using the SOTER methodology. Large‐scale digital data are limited to the USA, Canada, Australia and Europe, but there is discrepancy with respect to their philosophies of public access to foundation data such as soil maps. Remaining problems include the lack of metadata, limited interpetations for professionals who are not soil specialists, and geodesic incompatibility with other digital data. The frequent reorganization of websites leads, at best, to user frustration and, at worst, to the disappearance of information.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.405

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 head0.010
GPT teacher head0.198
Teacher spread0.188 · 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