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Record W2736872704

Beyond boy’s toys: Women, play and Mindstorms™ Robotics

2003· article· en· W2736872704 on OpenAlexaff
Cindy Poremba

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2003
Typearticle
Languageen
FieldComputer Science
TopicTeaching and Learning Programming
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRoboticsAgency (philosophy)Artificial intelligenceBricolageSociologySpace (punctuation)ConstructionismEmbodied cognitionComputer scienceRobotEpistemologyCognitive scienceHuman–computer interactionPsychologyVisual artsArtSocial sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The LEGO® MindStorms™ Robotics Invention System is
\nincreasingly used by adults for both serious prototyping
\nand creative play. What is particularly interesting about the
\nMindStorms™ system is that it offers women the
\nopportunity to participate in an embodied computing
\nenvironment that supports women-friendly programming
\nconcepts such as Constructionism and bricolage. So where
\nare the female hobbyists and artists? This paper argues for
\nthe development of a feminine/feminist MindStorms™
\nrobotics practice that subverts the male agency of the
\nproduct and creates a dialogue surrounding women and
\nrobotic play. Using a toy for expression and discourse is a
\npolitical act: a reclaiming of play time and space for
\nwomen, and an affirmation of a programming style that
\nrejects dualisms and situates women in the programming
\nexperience. This paper will argue the mechanics and
\ncultural space surrounding the MindStorms™ system make
\nit a particularly interesting subject for theorizing and
\nencouraging discourse surrounding women’s relationships
\nto robotics and play. It also presents several ongoing
\nprojects by the author that explore the idea of subverting
\nthe cultural space surrounding MindStorms™ robotics.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0010.002
Open science0.0030.001
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 head0.038
GPT teacher head0.271
Teacher spread0.233 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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