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Record W2894347441 · doi:10.1080/14766086.2018.1524785

Unearthing gold from the mud: alchemy and organizational tensions

2018· article· en· W2894347441 on OpenAlex
Cécile Rozuel

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

VenueJournal of Management Spirituality & Religion · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsAlchemyMeaning (existential)SociologyOrder (exchange)EpistemologyProcess (computing)Organizational changePublic relationsPolitical scienceComputer sciencePhilosophyBusinessArtLiterature

Abstract

fetched live from OpenAlex

Organizational tensions are overwhelmingly considered problems to be solved promptly, because they disrupt a rightful order and impede the normal flow of effective practice, production and service. I propose to look at organizational tensions through a more holistic and spiritually infused lens. The discussion is articulated around a core question: from a symbolic and spiritual viewpoint, how do we make sense of and how can we handle the inevitable tensions that fuel organizational life? Following the work of C.G. Jung, I identify tensions as opportunities for soulful learning and as synchronistic opportunities which point toward a chance at awakening something latent in our self. I outline how the complex and artful practice of alchemy offers a process of meaning-making of tensions in organizational life that is both systematic and creative, allowing a deeper understanding of what transformation entails, what shapes it can take, and how we can be present to it.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.309
Teacher spread0.269 · 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