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Record W3001694874

Kettering University's Bioengineering Summer Program for High School Women

2004· article· en· W3001694874 on OpenAlexaboutno aff
Janet Brelin-Fornari, Betsy Homsher, Laura Sullivan

Bibliographic record

VenueKettering University Digital Commons (Kettering University) · 2004
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationGerontologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

It has been documented that young women are more likely to pursue a career that they perceive as contributing to the common good of society. Also, the number of young women that obtain degrees in science, technology, engineering, and math (STEM) is steadily decreasing or remaining stagnant. To address these two issues, Kettering University has developed a summer program that introduces high school women to bioengineering and the applications for Biomechanics, Ergonomics, Biochemistry, and Automotive Crash Safety. There are very few residential bioengineering summer programs nationwide. Kettering’s Lives Improve Through Engineering, or LITE, is a two week, residential, summer program for young women entering their senior year of high school. Approximately 36 students, recruited from throughout the United States and Canada, attend the fully funded camp each year. University female students receive a stipend to mentor the high school students. The student to mentor ratio is kept low, 3 to 1. Four different professors, one for each bioengineering subject, are dedicated to presenting the curriculum. Hands-on laboratory experiences are integral to the learning process. In some areas, students present project posters at the end of the two-week period. Overall, the students participate in an interactive curriculum that shows them firsthand how they can apply bioengineering to societal concerns. Benefits to the high school students are both perceived and measured. The students have a chance to interact with female professors who are balancing family and work, therefore showing first hand that women can achieve professional and personal aspirations. The undergraduates who serve as LITE mentors demonstrate collegiate success. Both faculty and coeds are positive role models for the high school women. A post-program assessment of the LITE participants indicates that after attending the two-week program, they are more likely to pursue degrees in STEM subjects. Data also indicates that the mentors, after participating in the program, are more confident of their mentoring skills and are more likely to seek out mentoring opportunities in the future.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.172
Teacher spread0.163 · 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.

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

Citations2
Published2004
Admission routes1
Has abstractyes

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