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Record W2029970399 · doi:10.1145/2468356.2479660

Exploring the diversity of families

2013· article· en· W2029970399 on OpenAlex
Konstantinos Kazakos, Elizabeth Bales, Carman Neustaedter, Svetlana Yarosh, Joseph Kaye, David Kirk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsDiversity (politics)Context (archaeology)Meaning (existential)Space (punctuation)Domain (mathematical analysis)Focus (optics)SociologyWork (physics)Data scienceEngineering ethicsComputer scienceEpistemologyEngineeringGeography

Abstract

fetched live from OpenAlex

In recent years, the HCI community has expanded its interest to include exploring the role of technology within the domestic domain; particularly in the context of families and technology. Numerous studies have fo-cused on mapping the challenges and opportunities faced in designing technologies that are appropriated to the needs of contemporary families. However, few re-search lines have focused on supporting families with diverse structures and situations (i.e. divorced, same-sex, dealing with death, work-related periodic separation and reunion). This workshop aims to bring together researchers, practitioners and designers who are interested in exploring the research space of family design and furthering our understanding of what it means to design technologies for diverse family structures. During the workshop we will readdress the meaning of a diverse family, the methods used to conduct family research as well as discuss design and evaluation techniques with a focus on user experience.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.179

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.109
GPT teacher head0.246
Teacher spread0.137 · 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

Quick stats

Citations12
Published2013
Admission routes1
Has abstractyes

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