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Record W1988411544 · doi:10.1021/ed082p1486

An Interactive Analytical Chemistry Summer Camp for Middle School Girls

2005· article· en· W1988411544 on OpenAlexfundno aff
Mary E. Robbins, Mark H. Schoenfisch

Bibliographic record

VenueJournal of Chemical Education · 2005
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsnot available
FundersUniversity of VictoriaNational Science Foundation
KeywordsMathematics educationChemistrySummer campScience educationPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

An interactive chemistry outreach program designed specifically for middle school girls is described. The goal of this program is to expose girls to analytical chemistry in a way that will spark their interest in how it is studied, its role in modern scientific research, and some of the educational and career opportunities that this field has to offer. This objective is accomplished by providing the girls with a unique opportunity to conduct college-level scientific experiments adapted from the University of North Carolina at Chapel Hill undergraduate chemistry laboratories. Groups of 3–4 girls are paired with female chemistry graduate students who serve in both an instructional and mentoring capacity. The laboratory experiments are designed to promote the development of personal confidence, critical thinking, and the ability to function as a contributing member of a team, while expanding their knowledge of analytical chemistry. It is our belief that a memorable experience that involves active participation in exciting and challenging experiments, coupled with the development of mentoring relationships with enthusiastic female graduate students, has the potential to positively impact the future educational and career decisions of the girls who participate in this program.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0020.001
Open science0.0030.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0360.009

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 head0.018
GPT teacher head0.332
Teacher spread0.315 · 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 designObservational
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

Citations27
Published2005
Admission routes1
Has abstractyes

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