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Record W3035219013 · doi:10.1080/01596306.2020.1779448

Introduction to Symposium: childhood studies in the Anthropocene

2020· article· en· W3035219013 on OpenAlexaff
Peter Kraftl, Affrica Taylor, Veronica Pacini-Ketchabaw

Bibliographic record

VenueDiscourse Studies in the Cultural Politics of Education · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsWestern University
Fundersnot available
KeywordsAnthropoceneScholarshipEnvironmental ethicsHistorySociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Childhood studies scholars have increasingly sought to examine the complex entanglements of children's lives with nonhuman materials, animals, plants and earthly processes. Doing so has enabled new insights into children's relationships with global challenges such as climate change. Now, researchers from many disciplines are reflecting critically upon whether such challenges can be obviously ascribed to human activity, suggesting that we are entering a new (geological) epoch: the Anthropocene. The present collection of papers offers a range of empirically-informed, critical and theoretical analyses of the (possible) relationships between children and the Anthropocene. This paper frames the key debates covered in the symposium, introducing recent scholarship in childhood studies and opening out critical reflections on the term ‘Anthropocene’. It also provides an introduction to the papers making up the symposium.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.037
GPT teacher head0.386
Teacher spread0.349 · 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.

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

Citations24
Published2020
Admission routes1
Has abstractyes

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