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Record W4416697924 · doi:10.1145/3773967.3773978

Developing a Research Agenda for Accessible Financial Technology

2025· article· en· W4416697924 on OpenAlex
Jiamin Dai, Benjamin M. Gorman, Garreth W. Tigwell, Helena Marie Lyhme, Belén Barros Pena, Karyn Mofatt, Celine Latulipe, Valentina Andries, David Cropley, Zach Havens, Abi James, Shivaji Kumar, Anna Rohmann, Andra Sonea

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

VenueACM SIGACCESS Accessibility and Computing · 2025
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsUniversity of ManitobaMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsWork (physics)PaymentKey (lock)FinTechFinancial servicesSocial innovationUser needs

Abstract

fetched live from OpenAlex

Financial technology (FinTech) increasingly impacts economic and social participation due to the growing adoption of online banking and digital payments in everyday life. As FinTech interests emerge in academic and industry work across the globe, critical needs and opportunities arise for accessible computing communities to lead and shape the discourse on accessible FinTech. To address this, we ran an online workshop (https://accessfintechworkshop.github.io/) as part of the ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'24) to bring together researchers and practitioners interested in designing accessible and inclusive FinTech. By identifying diverse stakeholders, key challenges, design ideas, and research questions, this workshop started developing a research agenda for accessible FinTech. We took a timely step towards building a community to support continued discussion on the complex social and user contexts around FinTech.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesOpen science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0070.011
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 head0.156
GPT teacher head0.443
Teacher spread0.287 · 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