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Record W2779348714 · doi:10.36510/learnland.v5i2.547

Commentary: Enthusiasts for Learning: Leaders in Creativity

2012· article· en· W2779348714 on OpenAlexvenueno aff
Shirley Brice Heath

Bibliographic record

VenueLEARNing Landscapes · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsCreativityContext (archaeology)Atmosphere (unit)Public relationsThe artsThe InternetSociologyPsychologyPedagogyPolitical scienceSocial psychologyHistoryWorld Wide WebComputer scienceGeography

Abstract

fetched live from OpenAlex

This commentary points to several movements in modern economies that support informal or voluntary learning. A historical context establishes reasons for the rise of professional amateurs, such as citizen scientists, community youth arts organizations, and do-it-yourself individuals and groups. Creativity marks the nature of learning among voluntary learners, as does dedication to open sourcing. Shared knowledge at the citizen/consumer level benefits everyone. Within this atmosphere, young people are drawn to follow through on problems and issues by seeking information, guidance, and demonstration from sources of expertise on the Internet, in their communities and schools, and among others similarly enthused about learning on one’s own in one’s own way.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.031
GPT teacher head0.316
Teacher spread0.285 · 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
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

Citations1
Published2012
Admission routes1
Has abstractyes

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