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Record W581226734

Relationships, communication, reporting and performance

2003· book· en· W581226734 on OpenAlexaboutno aff
Jörg Andriof

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsnot available
Fundersnot available
KeywordsStakeholderStakeholder managementManagementCorporate social responsibilityStakeholder engagementGeneral partnershipSociologyPolitical scienceLibrary sciencePublic relationsLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Foreword Dr Andreas Pohlmann, Chief Administrative Officer, Celanese AG Introduction Sandra Sutherland Rahman, Framingham State College, USA, Sandra Waddock, Boston College, Carroll School of Management, USA, Jorg Andriof, Celanese AG, Germany Warwick Business School, UK, and Bryan Husted, ITESM/Instituto De Empresa, Mexico Part I: Stakeholder communication and relationship 1. Stakeholder discourse and critical-frame analysis: the case of child labour in Bangladesh Sandra Sutherland Rahman, Framingham State College, USA 2. Are you talking to me? Stakeholder communication and the risks and rewards of dialogue Andrew Crane, University of Nottingham, UK, and Sharon Livesey, Fordham University, USA 3. Talking for change? Reflections on effective dialogue Jem Bendell, Lifeworth.com 4. Stakeholder influences in developing a sustainability culture within the UK biotechnology sector Aharon Factor, Aarhus School of Business, Denmark 5. Power and social behaviour: a structuration approach to networks Stephanie Welcomer, University of Maine, USA, Philip L. Cochran, Smeal College of Business, USA, and Virginia W. Gerde, University of New Mexico, USA 6. State of the union: NGO-business partnership stakeholders Jonathan Cohen, AccountAbility, UK 7. Stakeholders for environmental strategies: the case of the emerging industry in radioactive scrap metal treatment Bruce W. Clemens and Scott R. Gallagher, James Madison University, USA 8. Re-examining the concept of stakeholder management Michael E. Johnson-Cramer, Boston University School of Management, USA, Shawn L. Berman, Santa Clara University, USA, and James E. Post, Boston University School of Management, USA 9. Stakeholders and conflict management: corporate perspectives on collaborative approaches Julia Robbins, independent consultant, Canada 10. Managing corporate stakeholders: subjecting Miles's 1987 data-collection framework to tests of validation James Weber, Duquesne University, USA, and David M. Wasieleski, University of Pittsburgh, USA Part II: Stakeholder performance and reporting 11. Approaches to performance and reporting: an investor's perspective. Investigating how sustainable companies deliver value to shareholders Michael J. King, Innovys, UK 12. Top managers and institutional stakeholders: a test of two models of adaptation and performance Michael V. Russo, University of Oregon, USA, and Frank C. Schultz, Michigan State University, USA 13. A comparative study of stakeholder-oriented social audit models and reports Jane Zhang, University of Sunderland, UK, and Ian Fraser and Wan Ying Hill, Glasgow Caledonian University, UK

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)0.031
metaresearch head score (Gemma)0.135
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.061
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.135
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0040.006
Scholarly communication0.0210.015
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0610.034

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 head0.149
GPT teacher head0.253
Teacher spread0.104 · 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 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".

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Citations2
Published2003
Admission routes1
Has abstractyes

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