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Record W1984733341 · doi:10.1145/1866855.1866868

OpenIDemail enabled browser

2010· article· en· W1984733341 on OpenAlex
San-Tsai Sun, Kirstie Hawkey, Konstantin Beznosov

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSpam and Phishing Detection
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLoginComputer scienceWorld Wide WebSingle sign-onIdentifierAuthentication (law)Web browserWeb serviceComputer securityInternet privacyThe InternetComputer network

Abstract

fetched live from OpenAlex

Current Web single sign-on (SSO) solutions impose a cognitive burden on web users and do not provide content-hosting and service providers (CSPs) with sufficient incentives to become relying parties (RPs). We propose a browser-based Web SSO solution that requires minimal user interaction and provide RPs with clear value propositions to motivate their adoption. Our approach builds OpenID support into web browsers, hides OpenID identifiers from users by using their existing email accounts, extends the OpenID protocol to perform authentication directly by browsers, and introduces an OpenIDAuth HTTP access authentication scheme to convey authenticated identities automatically into websites that support OpenID for authentication. Our solution embeds an intuitive and consistent login experience for web users in the browser; to motivate adoption by RPs, it provides them with instant marketable leads and the potential for gradual engagement of site visitors.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score0.628

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 communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.214
Teacher spread0.207 · 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

Citations14
Published2010
Admission routes2
Has abstractyes

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