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Record W2085710501 · doi:10.1177/0952695109347164

Not as natural as it seems: the social history of the environment in American sociology

2009· article· en· W2085710501 on OpenAlexaff
Filip Alexandrescu

Bibliographic record

VenueHistory of the Human Sciences · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSociologyEpistemologyIdeologySocial scienceFunctionalism (philosophy of mind)PositivismMainstreamVariety (cybernetics)Environmental sociologyNatural (archaeology)Historical sociologyScope (computer science)Mathematical sociologyPoliticsLaw

Abstract

fetched live from OpenAlex

This article argues against Catton and Dunlap’s claims that the natural environment has been ignored or downplayed in American sociology before the emergence of environmental sociology in the 1970s. By reviewing a collection of 86 sociology textbooks between 1894 and 1980, the article provides quantitative evidence regarding the scope and types of references to the natural environment in mainstream sociology. The bulk of the article is based on an interpretive-historical analysis of the different representations of the environment in the textbook literature. This analysis is carried out from the perspective of the sociology of knowledge, whereby sociological ideas about nature are interpreted in terms of their intellectual milieu and social context. The main finding is that the ‘natural environment’ has been interpreted in different ways and has been put to a variety of epistemological and ideological uses — particularly positivism and functionalism — throughout the history of the discipline.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.021
Scholarly communication0.0060.006
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.099
GPT teacher head0.348
Teacher spread0.249 · 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.

Study designQualitative
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

Citations3
Published2009
Admission routes1
Has abstractyes

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