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Record W3007533046 · doi:10.5430/jnep.v10n5p77

Virtual induction ceremonies: Upholding time-honored tradition

2020· article· en· W3007533046 on OpenAlexvenueno aff
Emily Hopkins, Kathleen C. Spadaro

Bibliographic record

VenueJournal of Nursing Education and Practice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsCeremonyHonorAdaptation (eye)The artsValue (mathematics)Opening ceremonySociologyHumanitiesPolitical scienceHistoryLawArtComputer sciencePsychologyInternet privacyArchaeology

Abstract

fetched live from OpenAlex

An induction ceremony is a time-honored tradition among honor societies. Designed to recognize new members and denote transition into the society, induction signifies an important step in formal membership. However, with the growth of online education programs, there is a need for honor societies to adapt from traditional on-ground communities to virtual ones. This adaptation includes conducting an induction ceremony virtually to further create a sense of membership belonging and value. Recognizing the importance of upholding a time-honored tradition, a small private liberal arts university in Southwestern Pennsylvania sought to digitally record their international honor society chapter induction ceremony and share it with their distance inductees via their chapter website. Use of the virtual induction began prior to becoming an international chapter and has continued annually for the past 10 years. Therefore, this experience exchange shares strategies for planning and conducting a successful virtual induction ceremony, thus emphasizing the importance of membership induction for all students especially those online.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.004
Scholarly communication0.0060.007
Open science0.0010.016
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.167
GPT teacher head0.420
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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