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Record W4380682939 · doi:10.37119/ojs2023.v28i2a.675

A Review of Klein, N., & Stefoff, R. (2021)’s How to Change Everything: A Young Human’s Guide to Protecting the Planet and Each Other

2023· review· en· W4380682939 on OpenAlexaffvenue
Will Burton

Bibliographic record

Venuein education · 2023
Typereview
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsLakehead University
Fundersnot available
KeywordsClimate changePlanetWork (physics)Political scienceEconomic JusticeMedia studiesGlobal warmingPandemicEnvironmental ethicsSociologyLawCoronavirus disease 2019 (COVID-19)EngineeringEcology

Abstract

fetched live from OpenAlex

How to Change Everything (2021) takes Klein's renowned work This Changes Everything (2014), and with the support of Rebecca Stefoff, an author with significant experience writing for young readers, targets the youth that came of age during the climate strikes. Throughout the 300 well-paced and authoritative pages, Klein and Stefoff centre the work of Greta Thunberg and the principles of climate justice and seek to build on the momentum of youth activism from before the pandemic. Yet readers coming from a public education background will note the dearth of practical applications for the classroom. The world of tomorrow will be changed through movement building outside of the school and instead in community and on the streets claim Klein and Stefoff, leaving behind increasingly disconnected systems of education.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.893
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.176
GPT teacher head0.465
Teacher spread0.289 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2023
Admission routes2
Has abstractyes

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