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The Enduring Relevance of Mauss’ Essai sur le don

2023· article· en· W4385663748 on OpenAlexaff
Jacques Godbout

Bibliographic record

VenueElementa Intersections between Philosophy Epistemology and Empirical Perspectives · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsIdentity (music)Gift givingPoliticsSociologyObligationRelevance (law)SelfAestheticsEpistemologyPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract The author rereads Mauss’ “Essay on the Gift” to focus on the essential differences between the archaic gift and the modern gift, the first of which is the separation between people and things. In fact, if in so-called primitive societies the gift is a “total welfare” (religious, economic, social, political), in modern societies the circulation of things becomes autonomous and we find the gift in the sphere of primary ties and, only partially, in those of the market and the state. The paradox of the gift, which Mauss emphasises, is its being a mélange of obligation and freedom: why do we in turn give when we receive something as a gift? This aspect – reciprocating the thing received – in Māori society is referred to as “hau” and contains the identity of the giver: the gift encloses, in a way, the self of the giver. For Mauss, even in modern society, presenting something to someone implies presenting something of the Self. Even when it comes to the gift between strangers, such as the gift of blood or the gift of organs, it expresses the social identity of the giver and the recipient, since it can be perceived as society’s recognition of a general gift or of the recipient’s belonging to this society.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.021
Scholarly communication0.0040.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.097
GPT teacher head0.371
Teacher spread0.274 · 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 designTheoretical or conceptual
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

Citations2
Published2023
Admission routes1
Has abstractyes

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