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Record W1544500428

Rise of the Eco-Comics: The State, Environmental Education and Canadian Comic Books, 1971-1975

2013· article· en· W1544500428 on OpenAlexaffabout
Mark J. McLaughlin

Bibliographic record

VenueMaterial Culture Review / Revue de la culture matérielle · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsComicsEnvironmentalismState (computer science)Environmental educationMedia studiesPolitical sciencePeriod (music)Comic stripPublic administrationSociologyHistoryLawAestheticsArtPolitics
DOInot available

Abstract

fetched live from OpenAlex

In the 1960s and 1970s, North American governments used comic books with explicitly modern environmental themes or, as I have termed them, “eco-comics” as part of state-sponsored environmental education programs designed to mitigate the possible effects of the bourgeoning environmental movement on economic growth. This article contextualizes the eco-comic Captain Enviro (1972) within the post–Second World War anglophone Canadian comic book industry, discusses the emergence of environmental education in the 1960s and 1970s and uses a visual cultural analysis of Captain Enviro to unravel some of the nuances of the type of environmentalism advocated by the state—in this particular case, the Committee of Environment Ministers of the Council of Maritime Premiers—during this period.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.096
Threshold uncertainty score0.698

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.012
Science and technology studies0.0140.013
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.196
Teacher spread0.189 · 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

Citations6
Published2013
Admission routes2
Has abstractyes

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