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Collaborating Without (Formal) Organization

2018· book-chapter· en· W2909109425 on OpenAlexaff
Anthony Hussenot, Viviane Sergi

Bibliographic record

VenueAdvances in logistics, operations, and management science book series · 2018
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPhenomenonTemporalityOrganization developmentOrganizational learningOrganizational studiesOrganizational structureKnowledge managementEpistemologySociologyPublic relationsPsychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This chapter focuses on independent workers and on the organizational specificities of the independent workers' phenomenon. The authors treat independent workers as an emergent and continually shifting organizational phenomenon questioning some of our assumptions about what organizations are and revealing trends that are currently reshaping work. They suggest viewing the independent workers' phenomenon as an open organizational phenomenon in which activities are project-oriented, temporality-oriented, and inclusive. This chapter contributes to an understanding of the independent workers' phenomenon as an organizational one that constantly (re)defines rules, roles, and statuses making the activities possible. It also contributes to a broader reflection on the matter of organization. Considered as an open organizational phenomenon, the independent workers' phenomenon calls the organization-society dualism into question. Finally, revealing the organizational aspects of independent workers' activities allows us to better understand some of the transformations that are nowadays affecting more traditional forms of work.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0080.006
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0280.013

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 head0.011
GPT teacher head0.233
Teacher spread0.222 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations2
Published2018
Admission routes1
Has abstractyes

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