MétaCan
Menu
Back to cohort
Record W4381892006 · doi:10.4324/9781003443926-8

When Service-Learning Meets Study Abroad

2023· book-chapter· en· W4381892006 on OpenAlexvenueno aff
Amye Day Ong, Patrick M. Green

Bibliographic record

VenueCrossing boundaries · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsService-learningService (business)Study abroadBusinessComputer sciencePsychologyMarketingPedagogy

Abstract

fetched live from OpenAlex

As higher education institutions develop more international service-learning (ISL) opportunities for students, the origin may be a faculty-led trip, a third-party provider, an institutionally commissioned experience encouraged by administration, or a study abroad office initiative. Loyola University Chicago’s ISL programs in Vietnam during the summer of 2009 and in Peru during the summer of 2010 demonstrate both successful and disjointed attempts at collaboration between service-learning and study abroad. Through both indirect and direct assessment measures, program evaluation research demonstrates how the collaboration of service-learning and study abroad offices created ISL programs that impact transformative learning for students. No matter the principal motivation, meeting student recruitment goals is a necessity for any ISL program. Though institutional responsibility regarding student safety abroad may limit ISL program design, study abroad theory regarding student immersion will often aid in fostering the transformative learning environment ISL program leaders seek.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0080.005
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0390.012

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 head0.069
GPT teacher head0.344
Teacher spread0.275 · 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
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCrossing boundariesSame topicService-Learning and Community EngagementFrench-language works237,207