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Record W144024768

The emotional organization : passions and power

2008· book· en· W144024768 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyContext (archaeology)PassionsPower (physics)Media studiesPerformance studiesManagementArtHistoryAnthropology
DOInot available

Abstract

fetched live from OpenAlex

List of Contributors. 1. Introducing the Emotional Organization: Stephen Fineman (University of Bath). Part I: Emotional Arenas. The Hospital. 2. Me, Morphine and Humanity: Experiencing the Emotional Community on Ward 8: Sharon Bolton (The University of Strathclyde). The Prison. 3.Power, Paradox, Social Support and Prestige: A Critical Approach to Addressing Correctional Officer Burnout: Sarah Tracy (Arizona State University). Crisis Work. 4. Rape Work: Emotional Dilemmas in Work with Victims: Patricia Yancey Martin, Douglas Schrock, Margaret Leaf and Carmen Von Rohr (Florida State University). The Recreation Centre. 5. In the Gym: Peer Pressure and Emotion Management Among Co-Workers: Mary Haman and Linda Putman (Texas A&M University). The Job Centre. 6. Abuse, Violence and Fear on the Front Line: Implications for the Rise of the Enchanting Myth of Customer Sovereignty: Marek Korczynski (Loughborough University) and Victoria Bishop (The University of Manchester). The Call Centre. 7. Enactments of Class and Nationality in Transnational Call Centres: Kiran Mirchandani (University of Toronto). Web Work. 8. The Gendering of Emotions and Perceived Work Time: Chicks and Geeks at I.com: Nicole L. Kangas and Debra E. Meyerson (Stanford University). Homeworking. 9. Managing the Boundaries of Telework: Gill Musson (Sheffield University) and Katy Marsh (Newcastle University Business School). Consultancy. 10. Management Consultancy and Humour in Action and Context: Andrew Sturdy (The University of Warwick), Timothy Clark (Durham University, Robin Fincham (Stirling University) and Karen Handley(Oxford Brookes University). Part II: Shifting Identities. 11. Becoming a Successful Corporate Character and the Role of Emotion Management: Caroline Hatcher (Queensland University of Technology). 12. Gender and the Emotion Politics of Emotional Intelligence: Stephanie A. Shields (Pennsylvania State University) and Leah R. Warner (Pennsylvania State University). 13. Feeling Out of Place? Towards the Transnationalizations of Emotions: Jeff Hearn (Swedish School of Economics and Business Administration). 14. It's All Too Beautiful: Emotion and Organization in the Esthetic Economy: Philip Hancock (The University of Warwick) and Melissa Tyler (Loughborough University). Epilogue: Stephen Fineman (University of Bath). Index

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.589
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
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 head0.015
GPT teacher head0.287
Teacher spread0.272 · 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

Quick stats

Citations167
Published2008
Admission routes1
Has abstractyes

Explore more

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