MétaCan
Menu
Back to cohort
Record W4393052415 · doi:10.1017/heq.2024.10

To Learn but Not Live Together? The Early History of the University of British Columbia’s International House

2024· article· en· W4393052415 on OpenAlexaffabout
Dale M. McCartney, Amy Scott Metcalfe, Gerardo L. Blanco, Roshni Kumari

Bibliographic record

VenueHistory of Education Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British ColumbiaUniversity of the Fraser Valley
Fundersnot available
KeywordsResidenceHouse of RepresentativesVisionAdministration (probate law)Public administrationCold warCenter (category theory)Political scienceSociologyPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract The University of British Columbia (UBC) opened Canada’s first International House (I-House) in 1959 after a decade of activism from students and faculty. Students had demanded an I-House to help them find housing, and to ensure that “brotherhood may prevail,” as the I-House motto promised. The I-House campaign received support from community groups that raised the funds to build the UBC I-House. UBC’s administration wanted I-House as a social center that could coordinate fledgling international student services and resisted the residential I-House model. Ultimately, UBC’s administrators won out and the residential component was never built. This paper examines the conflict about building a residence to house international and domestic students together, chronicling the competing visions of international student policy and services that were circulating at one of Canada’s largest universities in the early days of the Cold War.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.154
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0540.024
Scholarly communication0.0130.003
Open science0.0010.006
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0200.001

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 head0.013
GPT teacher head0.208
Teacher spread0.195 · 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 designQualitative
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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueHistory of Education QuarterlySame topicCanadian Identity and HistoryFrench-language works237,207