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The Online Community of Second Life and the Residents of Virtual Ability Island

2014· book-chapter· en· W2504199418 on OpenAlex
Antonia Tzemopoulos

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

VenueAdvances in social networking and online communities book series · 2014
Typebook-chapter
Languageen
FieldPsychology
TopicPsychological and Educational Research Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsAvatarNarrativeSocializationThe InternetVirtual communitySociologyPsychologyWorld Wide WebComputer scienceSocial psychologyHuman–computer interactionArt

Abstract

fetched live from OpenAlex

This chapter provides a detailed introduction of Second Life, a three-dimensional environment that operates over the Internet. As the community comes together, it may partake in a wide range of activities and opportunities for pedagogical purposes, as well as socialization, exploration, and creative practice. Within the introduction to this chapter, emphasis is placed on how people from diverse geographical locations join together in an effort to design a virtual environment based on the concept of user-generated content. The author uses a narrative research approach and using her avatar; she provides insight on how issues of community strength unfold and how community challenges are dealt with. Furthermore, various behaviours and actions are explored in greater detail. With this foundation, the rest of the chapter focuses on how a group of friends with disabilities came to discover Second Life. The evolution of Virtual Ability Island, which boasts over 700 community members with and without disabilities, is also examined, particularly looking at how community members contribute to growth and viability in their own personally distinct way.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.063
GPT teacher head0.373
Teacher spread0.310 · 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