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Record W2064831814 · doi:10.1002/meet.1450430136

Life after WSIS: Lessons learnt and implications for the information professions

2006· article· en· W2064831814 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

VenueProceedings of the American Society for Information Science and Technology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Society and Technology Trends
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSummitMarketing buzzPolitical sciencePublic relationsInformation societySession (web analytics)AllianceBusinessComputer scienceWorld Wide WebGeography

Abstract

fetched live from OpenAlex

In November 2005, the World Summit on the Information Society (WSIS) “concluded” with the second phase meeting in Tunis. The goal of WSIS was to garner global attention, devise effective policies, and identify promising applications and business models for capturing the promise of ICTs for all. The International Telecommunication Union paved the way, along with a vast number of players and stakeholders, for the two-phase summit (the first phase was held in Geneva in 2003). Countless numbers of preparatory meetings and submissions from a diverse set of stakeholders have gone into the making of the WSIS. The outcomes of the two WSIS phases were more limited than one would have expected or hoped for. Nevertheless a number of important developments are in the works, such as the Internet Governance Forum, the Digital Equity Fund, the global alliance on IT4Dev to name a few. Thus increased attention to and involvement in these developments are still, if not more, necessary. The aim of this session is to gather leading individuals who have been actively engaged in the WSIS discussions and can shed light on the lessons learnt from the Summit, as well as what the implications might be for the information science community. Indeed, the Summit did not really engender the expected buzz within the information science community: why is that so? This session aims to generate a broad discussion about the opportunities and challenges afforded by having a World Summit on information-related issues. What has been achieved or not at the two rounds of WSIS The major issues addressed and the issues of contention The participation of and implications for information professionals. Fostering a debate on the WSIS issue is essential in order to assess why WSIS was not more successful, but even more important to explore what can be done with what was achieved, and where the future of information societies seem to lie. WSIS needs not be “dead” and gone already. Rather it seems to be more essential than ever to reflect on the lessons we can learn from it. The aim of this session is to enable discussion around WSIS and the after-WSIS landscape to take place within the ASIST community.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.871
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.006
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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