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Record W2257661276 · doi:10.1080/14747731.2015.1056497

The Strategic Manipulation of Transnational Temporalities

2015· article· en· W2257661276 on OpenAlexafffund
Tony Porter, Liam Stockdale

Bibliographic record

VenueGlobalizations · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicElite Sociology and Global Capitalism
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsTemporalitiesPolitical scienceEconomic geographyBusinessEconomic systemPolitical economySociologyEconomicsLaw

Abstract

fetched live from OpenAlex

While it is now widely recognized that globalization is socially constructed, time is often still seen as a natural unalterable force. Drawing on the literature on the social construction of time, we explore the role of human agency in the interaction of time and globalization by developing the concept of temporal systems. These systems are assemblages that bring together temporal artefacts such as clocks and schedules, the temporalities of the natural world and the body, and social practices involving agency, power, and organization. We then explore, through four illustrative examples, how such systems interact with and constitute globalization. These examples are: the initial emergence and contemporary operation of world standard time; the manipulation of the future and speed in global financial markets; the rise of informal international organizations in global governance; and the role of temporality in the strategic behaviour of multinational corporations.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.016
Scholarly communication0.0080.009
Open science0.0010.007
Research integrity0.0010.001
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 head0.115
GPT teacher head0.358
Teacher spread0.243 · 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
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

Citations6
Published2015
Admission routes2
Has abstractyes

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