MétaCan
Menu
Back to cohort
Record W4297830295 · doi:10.1177/01492063221117120

Organizational Social Relations and Social Embedding: A Pluralistic Review

2022· review· en· W4297830295 on OpenAlex
Audrey-Anne Cyr, Isabelle Le Breton‐Miller, Danny Miller

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

VenueJournal of Management · 2022
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsHEC Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsVariety (cybernetics)SociologyOrganization studiesOrganizational studiesEpistemologySocial relationKnowledge managementSocial psychologySocial sciencePsychologyOrganizational learningComputer science

Abstract

fetched live from OpenAlex

To date there has been little systematic organization of the extensive literature on the processes and mechanisms shaping social relationships in and around organizations. In an analysis of 372 studies from this literature, we identified a broad spectrum of assumptions, priorities, and relational issues emerging from multiple disciplines and theoretical lenses. Three dominant perspectives surfaced in our study: economic, organizational, and interactionist. Each manifests distinctive ontologies of social relations, actors, relational processes, and modes of social embedding. The rich variety of relationships and causal patterns discovered characterizes more fully these perspectives, suggesting opportunities for further research within each, and a wider range of conceptual options to target relational paradigms toward different types of organizations, problems, and levels of analysis. It also brings to light the pluralistic nature of social relations in organizational contexts and the processes by which they become embedded.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.493
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.050
GPT teacher head0.300
Teacher spread0.250 · 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