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Record W2770684682 · doi:10.1177/2167696817739393

Wired for Innovation

2017· article· en· W2770684682 on OpenAlexaff
Ilona Dougherty, Amelia Clarke

Bibliographic record

VenueEmerging Adulthood · 2017
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsStatus quoContext (archaeology)Action (physics)SociologyPsychologyPublic relationsSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

This conceptual article argues that young people’s brains are “wired for innovation” and that society should better engage this age-group to access its innovation potential. Research published in the neuroscience and developmental psychology literature shows that between 15 and 25 years of age adolescents and emerging adults possess traits of successful innovators. They are collaborative, creative, observant, curious, willing to experiment, willing to challenge the status quo, risk-takers, action oriented, and visionary. In addition, Millennials and Generation Z are coming of age in a context that provides them with innovation ability during adolescence and emerging adulthood beyond that of previous generations. This article proposes that organizations able to effectively engage young people will be more innovative. Also, when young people are meaningfully engaged, society is more likely to find solutions needed to tackle social, environmental, and economic challenges.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.013
Scholarly communication0.0100.012
Open science0.0010.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0210.003

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 head0.085
GPT teacher head0.442
Teacher spread0.357 · 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 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

Citations18
Published2017
Admission routes1
Has abstractyes

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