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Record W3160233805

From coal pits to tar sands: examining labour migration between the Athabasca oil sands and an Atlantic Canadian region

2013· dissertation· en· W3160233805 on OpenAlexaboutno aff
Nelson Charles Ferguson

Bibliographic record

VenueYork University Digital Library (York University) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsOil sandsGeologyMining engineeringCoalGeochemistryCoal tarAsphaltGeotechnical engineeringGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In less than two decades, the Oil Sands industries of Northern Alberta have transformed from a costly experiment in oil production hidden in the Canadian hinterlands to a mega-industry employing over 100 000 individuals situated at the centre of the Canadian economy. This rapid growth is due in large part to industries' adoption of certain neoliberal strategies, in particular making use of mobile and flexible temporary migrant workforces drawn from communities from across Canada undergoing processes of deindustrialization, capital flight and high levels of unemployment. One such region is Industrial Cape Breton, a former centre of coal mining and steel milling. The region has become strongly connected to the Oil Sands industries following the demise of its central industries at the turn of the millennium and is now dealing with the impacts that patterns of long-distance labour migration have on local communities and families.
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\nBased on multi-sited fieldwork conducted in Industrial Cape Breton and the Oil Sands region, the present dissertation examines this emerging pattern of labour migration as an aspect of the ongoing neoliberalization of the labour force. Through an examination of the political economies of migration and resource extraction, an exploration of the sending and receiving regions involved in these commutes, and use of work-life narratives as a methodological tool to examine the lived experiences of those involved in these mobile labour arrangements, this dissertation argues for attention to the connection of class and migration. Such labour migrations are both cause and consequence of a shift in classed subjectivities among a mobile working class involved in long-distance commute work. The processes that allow for labour migration fall fundamentally within the scopes of a broader neoliberal project yet rest on the foundations formed through the pre-established Fordist project. The promises of Fordism and the Fordist legacy allow for the establishment and continuation of certain forms of neoliberalism and of certain forms of labour migration as workers attempting to re-create Fordist patterns of stable and secure relations to work instead become implicated in insecure and unstable work relations which highlight the neoliberal era.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.000
Scholarly communication0.0020.004
Open science0.0010.000
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 head0.014
GPT teacher head0.178
Teacher spread0.164 · 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.

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

Citations1
Published2013
Admission routes1
Has abstractyes

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