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Record W2594435052 · doi:10.31542/j.ecj.312

'SEEDS' of 'Good Lessons' through 'Many a Drop'-- Media Initiation in Environmental Education: An Indian Model of Environmental Pedagogy

2015· article· en· W2594435052 on OpenAlex
Nithin Kalorth, Rohini Sreekumar

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.

venuePublished in a venue whose home country is Canada.
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

VenueEarth Common Journal · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumEnvironmental educationCitizen journalismPedagogySociologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Environmental communication is now an emerging and a significant curriculum from schools to research centers. The effective and efficient environmental communication occurs when learners interact with their surrounding environment/ecology in which they live and reciprocate for sustainable protection and restoration of it. Developing countries in Asia and Africa are now setting up new role models and practices in curricula of environmental communication. The traditional theory based environmental communication curriculum of the last century is now actively investigated and restructured through community based learning, affirmative actions, and student centered participatory curriculum. Kerala, a southern State in India, serves as an exemplar of this new eco-venture. Through case studies like, Nalla Paadam (Good Lesson), Palathulli Project (Many a Drop Project) by the Malayalam language daily ‘Malayala Manoram’, and SEED project by another Malayalam daily ‘Mathrubhumi’, this paper analyses the innovative curriculum practices in the state of Kerala in India.

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 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 score0.040
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.303
Teacher spread0.274 · 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