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List of Contributors

2013· book-chapter· en· W4230803213 on OpenAlexaboutno aff

Bibliographic record

VenueAdvanced series in management · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary sciencePublishingPolitical scienceManagementLaw

Abstract

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Citation (2013), "List of Contributors", Social Media in Human Resources Management (Advanced Series in Management, Vol. 12), Emerald Group Publishing Limited, Bingley, pp. ix-x. https://doi.org/10.1108/S1877-6361(2013)0000012003 Publisher: Emerald Group Publishing Limited Copyright © 2013 Emerald Group Publishing Limited Roxana Arama Ursus Breweries, Bucharest, Romania David A. Askay California Polytechnic State University, San Luis Obispo, CA, USA Elena Axinia Ursus Breweries, Bucharest, Romania Rita Bissola Department of Economic Sciences and Business Management, Università Cattolica del Sacro Cuore, Milan, Italy Anita Blanchard University of North Carolina at Charlotte, Charlotte, NC, USA Tanya Bondarouk School of Management and Governance, University of Twente, Enschede, The Netherlands Opal Donaldson The University of Technology — Jamaica, Kingston, Jamaica Evan W. Duggan The University of the West Indies — Mona, Kingston, Jamaica Bernard Fallery Montpellier Research Management (MRM), University of Montpellier 2, Montpellier, France Christian Fieseler Institute for Media and Communications Management, University of St. Gallen, St Gallen, Switzerland Aurélie Girard Montpellier Research Management (MRM), University of Montpellier 2, Montpellier, France Barbara Imperatori Department of Economic Sciences and Business Management, Università Cattolica del Sacro Cuore, Milan, Italy Gorazd Justinek Graduate School of Government and European Studies — Kranj, Kranj, Slovenia Donald H. Kluemper Department of Managerial Studies, University of Illinois at Chicago, Chicago, IL, USA Laxmikant Manroop Roosevelt University, IL, USA Miguel R. Olivas-Luján College of Business Administration, Clarion University of Pennsylvania, Clarion, PA, USA Emma Parry Cranfield University School of Management, Cranfield, UK Giulia Ranzini Institute for Media and Communications Management, University of St. Gallen, St Gallen, Switzerland Julia Richardson School of Human Resource Management, York University, Toronto, Ontario, Canada Florence Rodhain Montpellier Research Management (MRM), University of Montpellier 2, Montpellier, France Huub Ruël School of Business, Media & Law, Windesheim University of Applied Sciences, Zwolle, The Netherlands Dino Ruta SDA Bocconi School of Management, Milan, Italy Tanja Sedej International Business School – Ljubljana, Ljubljana, Slovenia Adriano Solidoro Milano-Bicocca University, Milan, Italy Jerome Stewart University of North Carolina at Charlotte, Charlotte, NC, USA Ivan Župič Department of Management and Organization, Faculty of Economics, University of Ljubljana, Slovenia Book Chapters Social Media in Human Resources Management Advanced Series in Management Social Media in Human Resources Management Copyright Page Dedication List of Contributors Social Media and Human Resource Management: It Takes Two to Tango Chapter 1 Social Network Screening: Pitfalls, Possibilities, and Parallels in Employment Selection Chapter 2 What Is the Future of Employer Branding Through Social Media? Results of the Delphi Study into the Perceptions of HR Professionals and Academics Chapter 3 Recruiting Gen Yers Through Social Media: Insights from the Italian Labor Market ☆ Authors contributed equally and are listed in alphabetical order. Chapter 4 Social Media in Internal Communications: A View from Senior Management Chapter 5 Integration of Social Media in Recruitment: A Delphi Study Chapter 6 Social Media as a Mechanism for Engagement? Chapter 7 Managing Entitativity through Social Media Chapter 8 Using Social Media for Job Search: Evidence from Generation Y Job Seekers Chapter 9 The Integration of Online Face-to-Face Social Networking: The Need for Managerial Reconfiguration Chapter 10 Personae of Interest — Managers’ Identities and the Online Mirror Chapter 11 Toward the Development of a Social Information System Research Model Chapter 12 Social Media as Enabler of Crowdsourcing

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)0.003
metaresearch head score (Gemma)0.028
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 score0.279
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.010
Science and technology studies0.0040.001
Scholarly communication0.0140.008
Open science0.0030.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.7210.753

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 head0.008
GPT teacher head0.254
Teacher spread0.246 · 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
Published2013
Admission routes1
Has abstractyes

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