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Record W2484505220 · doi:10.11647/obp.0096.05

5. The Culture of Nature: The Environmental Communication of Gardening Bloggers

2016· book-chapter· en· W2484505220 on OpenAlexaff
Heike Graf

Bibliographic record

VenueOpen Book Publishers · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsYork University
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

This chapter analyzes approximately fifty Swedish and German gardening blogs to examine “ordinary” people’s media communication about environmental issues. The “difference-theoretical approach” that frames this study is described. The author finds that the communicative reactions of the garden bloggers to ecological concerns cohere around two ideas: domination over or partnership with nature. Blog entries generally concentrate on two main topics: consumption in terms of goods, and production in terms of gardening. These are topics with a high potential of connectivity. The chapter includes numerous quotes from the blogs as well as summarizations of the comments in response to blog posts. The topic of consumption can be addressed from several different perspectives; it is possible to argue for more or even less consumption without being aware of ecological consequences. However, topics concerned with production in home gardens are generally dominated by arguments for sustainable gardening, at least in text-based blogs. The author concludes that blogging is not so much about convincing people with different opinions as it is about coordinating the network of people who share similar interests and opinions.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0070.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.277
Teacher spread0.260 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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