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List of Contributors

2015· other· en· W4241853306 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingLibrary scienceManagementSociologyPolitical scienceMedia studiesLaw

Abstract

fetched live from OpenAlex

Citation (2015), "List of Contributors", Institutions and Ideals: Philip Selznick’s Legacy for Organizational Studies (Research in the Sociology of Organizations, Vol. 44), Emerald Group Publishing Limited, Bingley, pp. vii-viii. https://doi.org/10.1108/S0733-558X20150000044017 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Chris Ansell Department of Political Science, University of California, Berkeley, CA, USA Thomas D. Beamish Department of Sociology, University of California, Davis, CA, USA Marya L. Besharov Department of Organizational Behavior, Cornell University, Ithaca, NY, USA Nicole Woolsey Biggart Graduate School of Management, University of California, Davis, CA, USA Arjen Boin Department of Political Science, Leiden University, Leiden, The Netherlands David Chandler University of Colorado Denver Business School, Denver, CO, USA Moshe Farjoun Schulich School of Business, York University, Toronto, Canada Ricardo Flores School of Management, UNSW Australia, Sydney, Australia Mary Ann Glynn Carroll School of Management, Boston College, Boston, MA, USA Jerry Goodstein Carson College of Business, Washington State University, Vancouver, WA, USA Royston Greenwood School of Business, University of Alberta, Edmonton, Canada C.R. (Bob) Hinings School of Business, University of Alberta, Edmonton, Canada Paul Hirsch Kellogg School of Management, Northwestern University, Evanston, IL, USA Rakesh Khurana Harvard Business School, Boston, MA, USA Brayden G King Kellogg School of Management, Northwestern University, Evanston, IL, USA Matthew S. Kraatz College of Business, University of Illinois, Champaign, IL, USA Martin Krygier Law School, University of New South Wales, Sydney, and Regulatory Institutions Network, Australian National University, Canberra, Australia Ryan Raffaelli Harvard Business School, Boston, MA, USA David Thacher Gerald R. Ford School of Public Policy and A. Alfred Taubman College of Architecture and Urban Planning, University of Michigan, Ann Arbor, MI, USA Book Chapters Institutions and Ideals: Philip Selznick’s Legacy for Organizational Studies Research in the Sociology of Organizations Institutions and Ideals: Philip Selznick’s Legacy for Organizational Studies Copyright Page List of Contributors Advisory Board Introduction On Sustaining Research Agendas: Their Moral and Scientific Basis Selznick’s Hobbesian Idealism: Its Nature and Its Origins Leading Amidst Competing Technical and Institutional Demands: Revisiting Selznick’s Conception of Leadership Dynamic Conservatism: How Institutions Change to Remain the Same Missing in Action: The Further Contribution of Philip Selznick to Contemporary Institutional Theory Organizational Actors, Character, and Selznick’s Theory of Organizations Philip Selznick and the Problems of Organizational Integrity and Responsibility Why Institutions Matter: Stakeholder Attention to Organizational Ethics Commitments Social Heuristics: The Pragmatics of Convention in Decision-Making What’s So Institutional about Leadership? Leadership Mechanisms of Value Infusion Perils of Value Neutrality Reinfusing Values

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)0.004
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.300
Threshold uncertainty score0.428

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.010
Science and technology studies0.0040.001
Scholarly communication0.0140.008
Open science0.0040.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.7000.710

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 head0.013
GPT teacher head0.205
Teacher spread0.193 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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