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Record W2330965219 · doi:10.9790/0837-19323034

Environmental Awareness Among Secondary School Students Of Golaghat District In The State Of Assam And Their Attitude Towards Environmental Education

2014· article· en· W2330965219 on OpenAlexaff
Kumud Ghosh

Bibliographic record

VenueIOSR Journal of Humanities and Social Science · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsCanarie
Fundersnot available
KeywordsEnvironmental educationPsychologyScale (ratio)Positive attitudeTest (biology)Descriptive statisticsSignificant differencePositive correlationSample (material)SocioeconomicsGeographyMathematics educationMedical educationSocial psychologyPedagogySociologyMathematicsMedicineStatisticsEcologyPhysicsCartography

Abstract

fetched live from OpenAlex

The present study attempts to study the level of environmental awareness and attitudes towards environmental education among Secondary School students of Golaghat district in the state of Assam. The sample consisted of 200 students which includes 100 boys and 100 girls. The Descriptive Survey Method was employed for the present study. Environmental awareness, attitude and socio-economic scale was developed and standardized for the present study. The data was statistically analyzed by using 'z' test and Karl Pearson's coefficient of correlation ('r'). Environmental awareness and attitude towards environmental education among the Secondary School male and female students was found not significant; but in case of rural and urban student the attitude towards environmental education was found significant. The relationship between environmental awareness and attitudes towards environmental education among the students was found strong and positive.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.252
Teacher spread0.244 · 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 teacher head, not a consensus.

Study designObservational
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

Citations28
Published2014
Admission routes1
Has abstractyes

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