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Record W2132999934 · doi:10.2189/asqu.51.1.59

Explaining Compassion Organizing

2006· article· en· W2132999934 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdministrative Science Quarterly · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsQueen's UniversityUniversity of British Columbia
Fundersnot available
KeywordsCompassionImprovisationAgency (philosophy)PsychologyProcess (computing)Social psychologyOrganizational theorySociologyKnowledge managementEpistemologyCognitive scienceComputer scienceManagementPolitical scienceEconomicsSocial science

Abstract

fetched live from OpenAlex

We develop a theory to explain how individual compassion in response to human pain in organizations becomes socially coordinated through a process we call compassion organizing. The theory specifies five mechanisms, including contextual enabling of attention, emotion, and trust, agents improvising structures, and symbolic enrichment, that show how the social architecture of an organization interacts with agency and emergent features to affect the extraction, generation, coordination, and calibration of resources. In doing so, our theory of compassion organizing suggests that the same structures designed for the normal work of organizations can be redirected to a new purpose to respond to members' pain. We discuss the implications of the theory for compassion organizing and for collective organizing more generally.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.260
Teacher spread0.235 · 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