MétaCan
Menu
Back to cohort

Leisure to Attend to Our Spiritual Business

2025· article· en· W4408118014 on OpenAlexaff
Tom Walker

Bibliographic record

VenueStasis · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologySociologyBusiness

Abstract

fetched live from OpenAlex

Time is central to Martin Hägglund’s discussion of secular faith and spiritual freedom. Time is precisely what is finite in this life and presides over the relationships we value and our risk of losing them. Hägglund adopted the notion of disposable time from Karl Marx’s Grundrisse and reframed it as the more descriptive socially available free time. Following Marx, Hägglund advocates the revaluation of values so that socially available free time would become the measure of value rather than socially necessary labour time. A close examination of the origin of Marx’s analysis of disposable time suggests that questions of faith and freedom were inherent in the concept as it was expressed in the 1821 pamphlet, The Source and Remedy of the National Difficulties that influenced Marx, in the writings of William Godwin that inspired the 1821 pamphlet, and ultimately in theological views on the doctrine of the calling that Godwin secularized in his pioneering advocacy of leisure as a universal human right. Marx’s innovation was to show that the creation of disposable time is the basis of all wealth. Under capitalism, disposable time is expropriated in the form of surplus labour time, thereby inverting the relationship between necessary and superfluous labour time — the superfluous becomes necessary (for capital) and the necessary superfluous. Marx’s analysis of the inversion of necessary and superfluous labour time bears close resemblance to Ludwig Feuerbach’s critique in The Essence of Christianity, which had influenced the early Marx, of the inversion of collective humanity and the divine.

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 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.998

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 studies0.0000.000
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 head0.017
GPT teacher head0.350
Teacher spread0.333 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueStasisSame topicReligious Tourism and SpacesFrench-language works237,207