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Record W3022800310 · doi:10.1177/1024258920919346

Disruption and re-regulation in work and employment: from organisational to institutional experimentation

2020· article· en· W3022800310 on OpenAlex
Gregor Murray, Christian Lévesque, Glenn Morgan, Nicolas Roby

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.

Bibliographic record

VenueTransfer European Review of Labour and Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsHEC MontréalUniversité de Montréal
Fundersnot available
KeywordsAgency (philosophy)Context (archaeology)Work (physics)Representation (politics)SociologyOrder (exchange)Public relationsKnowledge managementPolitical scienceBusinessComputer sciencePoliticsSocial scienceLawEngineering

Abstract

fetched live from OpenAlex

This article proposes experimentation as a framework for understanding actor agency in the changing regulation of work and employment. This involves contrasting institutional change with organisational and institutional experimentation approaches in order to understand how, in the context of uncertainty, actors in the world of work experiment with new ways of organising and seek to institutionalise them into new understandings, norms and rules. The article describes the fault lines of disruption that are generating a vast range of experiments in the world of work. These fault lines invite resilient responses and the development of collective capabilities at two levels: first, organisational experimentation, where social actors seek to modify or renew their organisations, networks and alliances and reflect on, assess and learn from their experiments; second, institutional experimentation, where these responses are scaled up and institutionalised over time through more general understandings, norms and rules. A key challenge for comparative research and strategising is to find the appropriate institutional conditions that will facilitate and enable organisational experiments, whilst overcoming constraining institutional conditions. This challenge is illustrated through the examples of co-working and the development of new forms of collective representation.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.096
GPT teacher head0.398
Teacher spread0.302 · 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