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Record W3121812954 · doi:10.1177/0013916504269666

Environmental Sensitivity in a Developing Country

2005· article· en· W3121812954 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Behavior · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsMcGill University
Fundersnot available
KeywordsTurkishSocioeconomic statusLocus of controlCluster (spacecraft)PsychologyContext (archaeology)Cluster samplingMultistage samplingDeveloping countrySocial psychologyEnvironmental healthGeographyEconomic growthEconomicsMedicineComputer science

Abstract

fetched live from OpenAlex

Past research on consumers’ attitudes toward the environment has been conducted mostly in the context of developed countries. There is a need to investigate this topic in less affluent societies. This article investigates the relationship between Turkish consumers’ attitudes and their behaviors toward the environment. A multistage area sampling procedure was used to select 1,000 residences in Istanbul at which at-home personal interviews were conducted using standard surveys. A consumer cluster analysis based on behaviors toward the environment was conducted, and three distinct segments were identified: active concerned, passive concerned, and unconcerned. For each cluster, attitudinal, demographic, socioeconomic, and leisure activity profiles were delineated. Attitudes toward specific behaviors were found to be the best predictors of behavior, followed by general attitudes, education, and locus of control. Policy implications are provided for each cluster.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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