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Record W2333638467 · doi:10.1386/tear.11.3.277_1

What is a digital persona?

2013· article· en· W2333638467 on OpenAlex

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

VenueTechnoetic Arts · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPersonaComputer scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

Abstract Digital persona is a part of the individual identity that has been extended into the online sphere to which corresponds a digital unconscious structuring a digitally divided self. It has personal, social, institutional, legal, scientific and technological aspects that have to be reconsidered to allow for new ways of understanding and managing identity. However, the fragmentation of scientific analysis fails to explain what happens to the digital personae in an interdisciplinary way. This is reflected by the current lack of comprehensive framework, the tendency to develop fragmentary management tools and gaps in legal frameworks. In this context society, experts, institutions and groups are still in a fragile unconscious, or pre-conscious phase, regarding the opportunities and problems associated with the management of digital persona. The objective of this article is to offer a first set of comprehensive features that shape the personal and social sense of digital selfhood and identity and provoke a reflection regarding the future personal, social and institutional management of our digital personae. This on-going research aims at contributing to define the digital persona and to develop models and typologies of digital personhood that are still being developed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.016
GPT teacher head0.270
Teacher spread0.254 · 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