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Record W6986924611

Resource catalog of information on agricultural best management practices that positively influence climate change

2001· report· en· W6986924611 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

VenueThe Atrium (University of Guelph) · 2001
Typereport
Languageen
FieldEnvironmental Science
TopicClimate Change and Environmental Impact
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeAgricultureBest practiceGreenhouse gasGovernment (linguistics)Resource (disambiguation)Resource management (computing)Climate change mitigation
DOInot available

Abstract

fetched live from OpenAlex

For several years now the debates over climate change have focused on factors such as the sources of greenhouse gas (ghg) emissions and how they negatively affect our climate. Canada’s agriculture industry has been identified as a contributor to these ghg emissions. Although agricultural producers (both grain and livestock) can be considered as a source of ghg’s, they should also be considered as part of a national mitigation strategy to reduce ghg’s when they adopt agricultural best management practices for climate change. Many producers have already adopted best management practices through conservation land management strategies. Many more are being made aware of the potential for the agriculture industry to reduce ghg’s and helps to meet our international commitments under the Kyoto Protocol. One method of making Canada’s agriculture producers aware of how to reduce ghg’s and how they can contribute to climate change is to provide them with a catalog of where to find information on agricultural practices as they relate to climate change. This publication is the result of a two-month literature search that compiled extension and research information for producers to help them better understand climate change and how the adoption of best management practices can positively affect our climate. Over two hundred agrologists, researchers, government extension specialists and producer groups across Canada and the United States were contacted and asked to provide information for the catalog. In addition the Internet was thoroughly searched to identify sources of information on climate change and carbon sequestration in relation to agricultural practices. In Canada the task of creating extension materials for producers has been that of provincial agriculture departments and the major agriculture producer groups with Agriculture and Agri-Food Canada providing research results for the development of extension materials. In the U.S. much of the available information has been developed through the USDA, several universities and through privately funded groups. The majority of the information in this catalog has come from these sources in Canada and the US. Much more information will be forthcoming, however, as many research programs initiated in the past few years will yield results in the near future for extension materials. As this material will be generated through existing organizations, departments and institutions, a list of contact information and people has been included in the catalog. These contacts should be considered as valuable sources of future information and material. The catalog Table of Contents lists the categories of materials with sub-categories for fact sheets, brochures, news articles, research reports etc. Individual items under each category are listed alphabetically by title or source whichever is more significant. The reader will note that some of the materials are not published specifically as climate change best management practices. I have included these materials as they are good information sources on agricultural best management practices that are considered as positive contributors to climate change even though they are not noted as such in the text. This catalog should not be considered as a complete listing of extension materials or contributors to this information. Climate change information is constantly being produced and may not have been identified or even available during the literature search. The catalog should, however, adequately function as a starting point for producers in their search for information on how to raise agricultural products while doing the best job of protecting the environment and climate.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.996

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 communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.057
GPT teacher head0.256
Teacher spread0.200 · 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