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Record W2594368041 · doi:10.1002/bul2.2017.1720430318

James M. Cretsos Leadership Award: Start Small and Keep Building: Experiences in and Advice for Serving ASIS&T

2017· article· en· W2594368041 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 · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAdvice (programming)Editor in chiefAssociate editorPublic relationsAssociation (psychology)Field (mathematics)SociologyManagementPsychologyPolitical scienceLibrary scienceComputer scienceEconomicsMathematics

Abstract

fetched live from OpenAlex

EDITOR'S SUMMARY Adam Worrall, winner of the James M. Cretsos Leadership Award, shares his journey with ASIS&T and offers advice for new members looking to get more involved with the Association. He encourages new members to attend the ASIS&T Annual Meetings, and in particular the leadership workshop, to find new roles for which the Association may need volunteers. Adam also recommends networking with other people at any ASIS&T meeting to find colleagues or people with common interests that may have interesting insights on the Association or information science in general. He talks about finding a scholarly home and thinks ASIS&T is a great potential home for many people in the field of information science. Adam encourages new members to start small by volunteering where they can and keep building on that by finding new areas of interest.

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)0.005
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: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.045
GPT teacher head0.268
Teacher spread0.223 · 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