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Record W7075333187

DO COMUM DA EDUCAÇÃO AMBIENTAL À EDUCAÇÃO AMBIENTAL DO COMUM

2020· other· pt· W7075333187 on OpenAlexaboutno aff

Bibliographic record

VenueCadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais) · 2020
Typeother
Languagept
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Field (mathematics)PoliticsWork (physics)Space (punctuation)ElaborationJoint (building)
DOInot available

Abstract

fetched live from OpenAlex

Based on the notion of Michael Hardt and Antonio Negri that the common is not onlyshared land, but created languages, established social practices, modes of sociability and collectiveintellectual production, this text seeks to discuss environmental education as a communal field ofresearch and militancy in ecology and education, and to think the common as a privileged space for thecreation and exercise of ecological perspectives in education. The article is the partial result oftheoretical and conceptual research, and is divided into four parts. The first one presents the concept of"common notions" in Spinoza and in the reading of some of his commentators; the second seeks tounderstand the influence of the "common notions" on the elaboration of the concept of common inthe joint work of Hardt and Negri, and the debate about it in the work of Dardot and Laval. In thethird part it intends to think about the creation, production and dissemination of environmentaleducation in Brazil as a result of the actions and thoughts in common of educators and environmentalactivists. And in the fourth part, it seeks to build, from the proposal of the Ecological Perspectives inEducation, especially in the work of Reigota, some conceptual connections to think of environmentaleducation as a political exercise built for the common.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0050.001
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.011
GPT teacher head0.252
Teacher spread0.240 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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