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Record W4211230379 · doi:10.1111/soc4.12963

Another organization is possible: New directions in research on alternative enterprise

2022· article· en· W4211230379 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.

Bibliographic record

VenueSociology Compass · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScholarshipSoftware deploymentScale (ratio)Organizational studiesField (mathematics)SociologyMacroPerspective (graphical)Organizational fieldOrganizational behaviorPublic relationsOrganization developmentBusinessEconomicsPolitical scienceInstitutional theoryManagementSocial scienceEconomic growthComputer science

Abstract

fetched live from OpenAlex

Abstract Interest in alternative enterprises is again high, yielding a wave of popular experimentation with alternative organizational models, and new scholarship. From an organizational studies perspective, what have we learned about alternative enterprises since the last prior round of such experimentation in the 1970s, and what questions remain unanswered? Reflecting historical research legacies, scholarship often remains focused on micro‐aspects of internal organizational dynamics, but recent research at the meso scale has advanced our understanding of alternatives’ field‐level construction, and their relationship to external forces and other organizational forms. Less is known, however, at the macro scale about how or why these enterprises develop and are sustained in certain contexts, although work on this front is emerging. Meanwhile, many new alternative organizational forms/practices have not been well‐studied. Future research can remedy this oversight, while also seeking to improve our understanding of the effect of external, macro and meso‐scaled dynamics of alternative enterprises. It can also seek to better explain variations in alternatives’ institutional development and effectiveness in different sectoral contexts and domains, most notably across today’s crisis‐related fronts of climate change, housing precarity, and technological change. In so doing, it could more directly speak to a rising generation’s concerns, and better enable their effective deployment of alternatives in practice.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.089
GPT teacher head0.336
Teacher spread0.247 · 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