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Record W3136121542 · doi:10.1177/2631787721995205

Beyond Uberization: The co-constitution of technology and organizing

2021· article· en· W3136121542 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOrganization Theory · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsMcGill University
FundersCanada Research Chairs
KeywordsConstitutionEpistemologyPerspective (graphical)Valuation (finance)Knowledge managementSociologyRelation (database)BusinessPolitical scienceLawComputer scienceArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Uberization has emerged as a platform-based form of organizing that is reshaping work and labour markets and that is fundamentally challenging existing thinking on organizing. We suggest that organizational theorists have been reluctant to address the constitutive relation between technology and organizing. By emphasizing co-constitution, we argue against viewing technology as an entity that is separate, exogenous, or causal. Instead, we offer that technology can be fruitfully viewed as endogenous to and constitutively entwined with organizational actions and structures. To illustrate this co-constitution, we present a brief analysis of Uberization from a regime of organizing perspective that emphasizes how organizing practices, valuation schemes, authority arrangements and technological arrangements are entwined with each other. We conclude with an invitation to organizational theorists to more specifically engage with technology as they theorize new forms of organizing.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.672
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.222
Teacher spread0.217 · 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