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Record W823423542

Energy Consequences and Conflicts across the Global Countryside: North American Agricultural Perspectives

2011· article· en· W823423542 on OpenAlexaboutno aff
Simona L. Perry

Bibliographic record

VenueForum on public policy · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousAgricultureLivestockRural areaGeographyEconomic growthGlobalizationPolitical scienceEconomicsEcologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Policy measures that address themselves to the solution of pressing economic problems often fall short precisely because they fail to come to grips with the everyday practicalities and diverse modes of making and defending a living. (Long 1996, 40) To mitigate and adapt to climate change we need to stop the assault on small farmers and indigenous communities, to defend their rights to their land and territory, to see them not as remnants of our past but as the path for our future. (Shiva 2008, 46) Introduction To focus the analysis of such broad topics as energy and agriculture and provide tangible evidence of the transformations taking place across rural North America as a result of energy development, this paper geographically and topically draws upon the perspectives of family livestock farmers and networks of farmers across North America being directly impacted by the activities of multi-national energy corporations. The place-based social and environmental changes being brought about by regional and national policies and regulations that promote unconventional energy development activities on and near grazing and crop lands makes these livestock farmers and the places they inhabit part of an emerging countryside, a hypothetical space characterized by a condition of global inter-relatedness articulated through and by certain rural places and peoples that are engaging with and responding to globalization at the local level (Woods 2007, 486; Figure 1). [FIGURE 1 OMITTED] The livestock operations that are the focus of this analysis include smaller, family farms of less than 1,000 animals who for all, or a significant part of the year, allow their livestock to graze freely. Where possible, the focus has been on capturing the perspectives of family farmers (1) and their communities (National Family Farm Coalition 2008). These family farms include both conventional and organically certified operations. Unconventional onshore oil and gas development broadly refers to extracting hydrocarbon resources from oil and gas shale, tight gas and tar sands, heavy oil reservoirs, coal bed methane, and methane hydrates. Unconventional oil and gas resources are regional in extent, found in extremely low permeability rock or on sand, and require stimulation (known as fracturing) to produce the gas or oil. These unconventional fossil fuel resources also typically have lower rates of estimated recovery than conventional oil and gas (Energy Information Administration 2011). This type of development is technology driven, using one or a combination of advanced technologies that include horizontal drilling and hydraulic fracturing (also known as fracing) in the case of tight sands, coal bed methane, and shales, and in the case of oil sands includes open pit mining and hot water extraction, or in-situ steam extraction practices, such as steam assisted gravity drainage (Holditch 2006). Due to these advanced technologies, higher initial capital investment is required. In the political and societal discourses on the exploitation of these unconventional fossil fuel resources, the full scale development of these domestic fossil fuels, and the capital investment required, have been argued for in political debates as promising more secure and independent sources of oil and gas that could free the U.S. and Canada from oil and gas supplies in more politically volatile places around the world. In addition, political and societal calls for cleaner burning fossil fuels in the face of global climate change have brought the debate over a switch from coal and oil to clean-burning natural gas to the fore. All of these discourses around the promotion of unconventional energy in North America have involved, most notably in the U.S., new tax incentives, new public subsidies, de-regulation, new policies and regulations, permit streamlining, and national security measures that protect the corporations and technologies involved in unconventional oil and gas developments. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0070.005
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.228
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), 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

Citations27
Published2011
Admission routes1
Has abstractyes

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