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Record W7132960126

An Exploration of Science Identity: A Case Study of a Science Centre Program for Middle School Youth

2025· dissertation· W7132960126 on OpenAlexaffabout
Naomi Michelle Bender

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScience educationPositive Youth DevelopmentFutures contractField (mathematics)Identity (music)Developmental Science
DOInot available

Abstract

fetched live from OpenAlex

This study examined how a science centre fostered youth connections to science through a program for 12 to 14-year-olds from two nearby low-income neighbourhoods in Canada. Using field notes and group interviews with 17 youth and five program instructors, I explored youth identification with the science centre and science, framed by three dimensions of science identity: agency, belonging, and recognition. Findings revealed shared experiences with program instructors, the opportunity to apply knowledge about their community, and the ability to envision futures supported by family, strengthened youth ties to the centre. Engaging in challenge-based activities and meeting science professionals helped youth see examples of people who participate in science and supported youth to imagine how they could fit into the field. This study highlights the role of science centers in fostering middle school youth’s connection to science by creating identity-affirming spaces where they can explore and see themselves as part of the scientific community

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.960
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0400.010
Scholarly communication0.0060.003
Open science0.0030.010
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.124
GPT teacher head0.425
Teacher spread0.301 · 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 designQualitative
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

Citations0
Published2025
Admission routes2
Has abstractyes

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