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Gaston Bachelard and the Phenomenology of the Imagination

2023· book-chapter· en· W4318191796 on OpenAlexaff
Michèle Charbonneau

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsPhenomenology (philosophy)Materiality (auditing)PoetryCreativityPoeticsAestheticsSociologyEpistemologyArtPsychologyLiteraturePhilosophySocial psychology

Abstract

fetched live from OpenAlex

Abstract Gaston Bachelard’s phenomenology of the imagination proposes to explore the human values of poetic images. After summarizing Bachelard’s background and work, this chapter presents his conception of the imagination and the phenomenological method he developed to study poetic images. This method proposes to meditate on literary images that deal with the materiality of the world (houses, trees, caves, volcanoes, lakes, etc.), and to explore these images through poetic reveries by activating a formal, material, and dynamic imagination. The chapter then explores the avenues of renewal that Bachelard’s phenomenology of the imagination has brought or could bring to Management and Organizational Studies (MOS) with respect to the themes of creativity, organizational poetics, issues related to the transformation of the material environment of organizations (including ecological issues), methods for exploring the imagination within organizations and research activities, and management education.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.021
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.166
Teacher spread0.150 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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