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Willed Learning

2020· book-chapter· en· W3123523675 on OpenAlexaff
Carlo Ricci, Brooke Growden, Debbie Michaud

Bibliographic record

VenueAdvances in early childhood and K-12 education · 2020
Typebook-chapter
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsNipissing University
Fundersnot available
KeywordsMainstreamPsychologySiegeAnxietySocial psychologySociologyAestheticsPedagogyArtPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

The authors share that they have no doubt that mainstream schooling wounds people deeply. From a holistic framework, people within mainstream schooling experience stresses to their mind, body, spirit, and emotions. Their souls are under siege as they are controlled, judged, manipulated, and oppressed. It is said of mainstream schooling that it creates opportunities, the authors say that it limits opportunities. People within mainstream schooling experience fear and anxiety, and fear and anxiety are not conducive to learning, rather they diminishes learning. In what follows, Brooke and Debbie will share their stories of how they found willed learning and what that has meant to them and their children. Their story is informed by Carlo Ricci's framework of willed learning.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0280.006

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 head0.269
Teacher spread0.262 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

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