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Bringing Institutions and Inclusion Together: A Multi-Level Theoretical Integration

2024· article· en· W4400439578 on OpenAlexaff
Chloe R. Cameron, Frank D. Golom, Wesley Helms, Linda Jakob Sadeh, Christopher W. J. Steele

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsUniversity of AlbertaBrock University
Fundersnot available
KeywordsInclusion (mineral)PsychologySociologyComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

Academic siloes are inhibiting progress on both diversity, equity, and inclusion (DEI) and institutional literatures. DEI theorizing has progressed at certain levels, particularly at the individual level, but lacks depth as it relates to societal inputs, indicating opportunities for institutional frameworks. Likewise, institutional theories have progressed to identify various types of institutional work, conditions that enable institutional change, and actor perceptions of institutions that are clearly affected by diverse actors, but have notably avoided contemporary diversity-related empirical contexts that could address paradoxical gaps in theorizing. The purpose of this panel symposium is to formally begin a conversation to explore how the two literatures can be meaningfully integrated so that each may benefit from the knowledge that has been established in the other and future research agendas can draw on integrated theoretical frameworks. We bring together panelists with different perspectives to discuss the most promising opportunities for theoretical integration at different levels of analysis in both the institutions-to-DEI and the DEI-to-institutions directions.

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 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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.645

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.065
GPT teacher head0.357
Teacher spread0.293 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2024
Admission routes1
Has abstractyes

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