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Record W2784930787 · doi:10.22215/etd/2017-11985

Transformations in the Ottawa Taxi Industry: A Sociological Perspective

2017· dissertation· en· W2784930787 on OpenAlexaffabout
Declan Driscoll

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsCarleton University
Fundersnot available
KeywordsLegalizationPerspective (graphical)Public administrationSociologyPolitical sciencePublic relationsSocial scienceEngineeringLaw

Abstract

fetched live from OpenAlex

This thesis sets out to explore the recent emergence and legalization of private transportation companies within Ottawa.In doing so it seeks to understand some of the social, economic, and governmental factors that have worked to enable these companies to successfully emerge within the previously closed taxi market, and explores some of the potential social consequences that the legalization of private transportation companies will have for labourers, residents, and governing structures within Ottawa and Canada more generally.It begins with an overview of the history of taxi legislation within most major Canadian cities, where I compare and contrast technical differences between the taxi industry and private transportation companies.This is then followed by a critical investigation into the social discourses that predominantly support this transformation, beginning with an analysis of existing social discourses about the relationship between technology and social progress, followed by an analysis of discourses about worker and consumer autonomy.Lastly, this thesis explores the ways in which the emergence of private transportation companies asks crucial questions about the limits of our current governing structures, pointing to new ways in which companies are able to speak to workers and consumers beyond government through the use of new mobile technologies.1.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.774

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0210.033
Scholarly communication0.0110.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.032
GPT teacher head0.343
Teacher spread0.311 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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