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Record W2979860008 · doi:10.1038/s42003-019-0623-z

Extending the science fair project beyond the walls of the gymnasium with the Canadian Science Fair Journal

2019· article· en· W2979860008 on OpenAlexaffabout
Rhiannon Ng, Kira Slivitzky, Richard Webster, Dayre McNally

Bibliographic record

VenueCommunications Biology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsDilemmaPublic relationsCommunity engagementPolitical scienceEngineering ethicsSociologyEngineering

Abstract

fetched live from OpenAlex

It is increasingly recognized that research is most impactful when disseminated to broad audiences within and beyond the scientific community. For children and youth, opportunities to share independent research beyond family and science fair attendees are limited by a lack of appropriate dissemination platforms. This lack of opportunity creates the 'science fair dilemma', where the engagement of students with the scientific community is curtailed once science fairs wrap up. Here we discuss this missed opportunity to encourage engagement and skill development of young scientists, and provide a case study of a student centric science journal aimed to tackle these 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)0.022
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.832

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0580.022
Scholarly communication0.0210.007
Open science0.0030.019
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0390.003

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 head0.075
GPT teacher head0.421
Teacher spread0.346 · 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.

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
Published2019
Admission routes2
Has abstractyes

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