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Record W2595818646 · doi:10.11575/prism/34603

Moving Natures: Mobility and Environment in Canadian History

2016· book· en· W2595818646 on OpenAlexaboutno aff
Ben Bradley, Jay Young, Colin M. Coates

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingGovernment (linguistics)The artsLibrary sciencePolitical sciencePublic administrationManagementMedia studiesSociologyEconomicsLawComputer science

Abstract

fetched live from OpenAlex

Mobility - the movements of people, things, and ideas, as well as their associated cultural meanings - has been a key factor in shaping Canadians' perceptions of and interactions with their country. Approaching the burgeoning field of environmental history in Canada through the lens of mobility reveals some of the distinctive ways in which Canadians have come to terms with the country's climate and landscape. Spanning Canada's diverse regions, throughout its history, from the closing of the age of sail to the contemporary era of just-on-time delivery, Moving Natures: Mobility and the Environment in Canadian History examines a wide range of topics, from the impact of seasonal climactic conditions on different transportation modes, to the environmental consequences of building mobility corridors and pathways, to the relationship between changing forms of mobility with tourism and other recreational activities. Contributors make use of traditional archival sources, as well as historical geographic information systems (HGIS), qualitative and quantitative analysis, and critical theory. This thought-provoking collection divides the intersection of environmental and mobility history into two approaches. The chapters in the first section deal primarily with the construction and productive use of mobility technologies and infrastructure, as well as their environmental constraints and consequences. The chapters in the second section focus on consumers' uses of those vehicles and pathways: on pleasure travel, tourism, and recreational mobility. Together, they highlight three quintessentially Canadian themes: seasonality, links between mobility and natural resource development, and urbanites' experiences of the environment through mobility.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.181
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.013
Science and technology studies0.0300.016
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.007
GPT teacher head0.182
Teacher spread0.175 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2016
Admission routes1
Has abstractyes

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