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Record W2242543277 · doi:10.6844/ncku.2011.01754

An Investigation of Factors Determining Environmental Friendliness: Focus on Renewable Energy

2011· dissertation· zh· W2242543277 on OpenAlex
班德芳

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue成功大學國際經營管理研究所碩士班學位論文 · 2011
Typedissertation
Languagezh
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyStructural equation modelingDescriptive statisticsEnvironmental economicsConfirmatory factor analysisMarital statusInvestment (military)Theory of planned behaviorGovernment (linguistics)BusinessPublic economicsPsychologyEconomicsEngineeringPolitical scienceStatisticsSociologyMathematicsDemography

Abstract

fetched live from OpenAlex

The environment of Ontario is changing and the Ontario government has reacted by introducing the green energy act. This act encourages the investment in green energy alternatives in Ontario. People of Ontario are facing rising energy costs and increased taxes. Therefore this study wants to examine the willingness of Ontarians to be environmentally friendly, focusing on the implementation of renewable energy. Using the theory of planned behavior, data was collected. Using confirmatory factor analysis and structural equation modeling, data was analyzed. All hypotheses were supported. This can be interpreted that many factors determine one’s willingness to engage in environmentally friendly behavior. Descriptive statistics are examined to see significant relationships and it was found that that gender plays a large significant role on intentions, while income plays a small significant role. All other demographic variables are not significant, including; location, education, age and marital status.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.130
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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