The Malaise of the Soul at Work: The Drive for Creativity, Self-Actualization, and Curiosity in Education
Bibliographic record
Abstract
Franco “Bifo” Berardi tells us that the current transformation of every domain of social life into economy has led to “the subjugation of the soul to work processes.” There is a newfound love of work and, consequently, writes Berardi, “no desire, no vitality seems to exist anymore outside of the economic enterprise.” Concerned as it once was with “fostering the soul,” and concerned as it now (almost exclusively) is with preparing students for the job market, what role might education have in Berardi’s musings? Can “creativity,” “self-actualization” and “curiosity,” which are so valued in education, still speak and help foster a sense of the soul that exceeds economy and work? In this paper, I explore these questions by providing an account of what is at stake in Berardi’s conception of the soul and its subjugation to work. I draw on his ideas to critically appraise the seemingly-benign aspirations of the “creative class,” a term coined to signal a new era for human flourishing afforded by shifts towards personal creativity in the digital economy. I then move to consider how, in particular, the ubiquitous promotion of “creativity” and “curiosity” in education tends to replicate a form of learning that puts the soul to work, as it were, promoting a narrow, self-enterprising subject with a frantic instrumental orientation towards the world. I conclude with a discussion on how demands on learners, to be always curious, innovative, nimble and open to discovery lead to panic, collapse and depression: the diseases of the soul.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.064 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".