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Record W7074107772

Experiencing environment and place through children's literature

2011· article· en· W7074107772 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.

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

VenueePublications@SCU (Southern Cross University) · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)ScholarshipFormative assessmentSet (abstract data type)Focus (optics)Environmental education
DOInot available

Abstract

fetched live from OpenAlex

Recent scholarship on children's literature displays a wide variety of interests in classic and contemporary children's books. While environmental and ecological concerns have led to an interest in 'ecocriticism', as yet there is little on the significance of the ecological imagination and experience to both the authors and readers - young and old - of these texts. This edited collection brings together a set of original international research-based chapters to explore the role of children's literature in learning about environments and places, with a focus on how children's literature may inform and enrich our imagination, experiences and responses to environmental challenges and injustice. Contributions from Australia, Canada, USA and UK explore the diverse ways in which children's literature can provide what are arguably some of the first and possibly most formative engagements that some children might have with 'nature'. Chapters examine classic and new storybooks, mythic tales, and image-based and/or written texts read at home, in school and in the field. Contributors focus on exploring how children's literature mediates and informs our imagination and understandings of diverse environments and places, and how it might open our eyes and lives to other presences, understandings and priorities through stories, their telling and re-telling, and their analysis.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.998

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.031
GPT teacher head0.177
Teacher spread0.146 · 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