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Record W4237686570 · doi:10.1002/bul2.2016.1720430102

President's Page

2016· article· en· W4237686570 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

VenueBulletin of the Association for Information Science and Technology · 2016
Typearticle
Languageen
FieldComputer Science
TopicArtificial Intelligence Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChief executive officerSuccessor cardinalExecutive directorAssociation (psychology)OutreachManagementTask forcePublic relationsOfficerExecutive summaryPolitical scienceTask (project management)BusinessPublic administrationPsychologyFinanceLawEconomics

Abstract

fetched live from OpenAlex

EDITOR'S SUMMARY In her final message as ASIS&T president, Nadia Caidi extends thanks to the conference co‐chairs and many others who have contributed to a successful 2016 Annual Meeting in Copenhagen, the first beyond North America. Caidi notes the strong financial health of the Association and the hiring of the Association's first communications officer. Numerous efforts have been made toward priority goals for the year: outreach and engagement with members and the wider information science community and internal knowledge management. An Executive Director Task Force has been formed to find a successor to Dick Hill, considering organizational and financial status, strategic planning and oversight by either an executive director or an association management firm. Members are invited to share ideas and voice their opinions on issues of common interest as the Association moves forward.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.950
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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