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Dysfunctions

2016· other· en· W4236746038 on OpenAlexaff
Joseph Agassi

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2016
Typeother
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsYork University
Fundersnot available
KeywordsFunctionalism (philosophy of mind)Dysfunctional familyIgnoranceStructural functionalismEpistemologySociologyPositive economicsLaw and economicsPsychologyPhilosophyEconomicsPsychotherapist

Abstract

fetched live from OpenAlex

Abstract Functionalism is the methodological theory that the institutional structure of a society is explained by showing that its diverse institutions function well together: They avoid conflicts (such as civil wars). Greek tragedy describes conflicts as unavoidable (e.g., Antigone ). Functionalists deem all stable societies functional. An institution or a behavior pattern is dysfunctional if it undermines stability. The failure to import institutions comprises a significant paradigm case. Functionalists view social systems as all or nothing, denying that real dysfunctional institutions exist; against this, Merton claimed that racism is inherently dysfunctional. This leads to the expectation of dysfunctions everywhere. Functionalism as a method of explanation thus collapses. The alternative mode of explanation is older: It is that the dysfunctional is an unintended consequence of the functional. This renders social evils the outcome of ignorance rather than of ill will. Merton thus destroyed functionalism from within.

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)0.004
metaresearch head score (Gemma)0.009
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 score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.018
Scholarly communication0.0060.007
Open science0.0020.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0280.005

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 head0.029
GPT teacher head0.329
Teacher spread0.300 · 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
Published2016
Admission routes1
Has abstractyes

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