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Record W6940467218 · doi:10.7939/r3-a0wn-e125

Shapeshifting: Political rationalities, Lean, and the transforming landscapes of Canadian public bureaucracies

2020· dissertation· en· W6940467218 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2020
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsBureaucracyPoliticsGovernmentalityPeriod (music)State (computer science)AccountabilityGovernment (linguistics)

Abstract

fetched live from OpenAlex

In this dissertation, I explore the question of how Canadian public bureaucracies have changed over time to reflect broader shifts within and between political rationalities. Drawing from a range of critical approaches to power, policy, and public administration including governmentality studies and critical policy studies, I offer complex answers. By deploying concepts such as political rationalities, political programmes and technologies, assemblages, and translation, I argue that Canadian public bureaucracies “shapeshift” alongside changes in their broader contexts, forming and “re-forming” as Canada has transitioned from its nation-building period in the nineteenth century to the Keynesian welfarist period in the mid-twentieth century and, ultimately, the neoliberal period of the last thirty years. I pay particular attention to the neoliberalization of bureaucracies through the case study of Saskatchewan’s implementation of Lean Management (Lean), a management approach derived from the industrial practices of mid-century Toyota. I begin by tracing the genealogies of both Canadian public bureaucracies as well as Lean. My genealogy of Canadian public bureaucracies draws on Royal Commissions and other similar state transcripts to trace how public bureaucracies have been conceptualized throughout the history of the Canadian state. I then utilize sources such as historical budget documents and departmental reports to explore how the discursive claims of these periods are rendered tangible through material arrangements. Following this, I explore the genealogy of Lean, tracing how it emerged in 1950s Japan, how it was introduced into North America industry in the 1980s as part of the wave of emulation of Japanese manufacturing techniques by North American firms. Next, I trace how Lean became a form of knowledge and expertise around which a global network of experts, consultants, authors and management gurus crystalized. I then draw on interviews and extensive documentary analysis to tell the story of Saskatchewan’s Lean initiative, an enormously contentious process that dominated the province’s political landscape in the past decade. Drawing on this diverse set of methods and sources, I demonstrate how and why Lean’s trajectory came to intersect with that of Canadian public bureaucracies, arguing that as bureaucracies “shapeshift,” they adopt, repurpose and deploy an ever-changing set of political programmes and technologies to more closely reflect the shifting dynamics of political rationalities.

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)0.007
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.008
Science and technology studies0.0330.067
Scholarly communication0.0160.006
Open science0.0020.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.164
Teacher spread0.153 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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