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Record W2039062549 · doi:10.1300/j167v08n01_11

Smoothing the Transition: Retraining Centers in Canada for Immigrant Librarians from Eastern Europe and the Former Soviet Union

2007· article· en· W2039062549 on OpenAlex
Keren Dali, Juris Dilevko

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSlavic & East European Information Resources · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRetrainingImmigrationPolitical scienceAccreditationSubject (documents)European unionFace (sociological concept)Library scienceSociologyBusinessLawComputer scienceSocial scienceInternational trade

Abstract

fetched live from OpenAlex

ABSTRACT Despite demonstrated credentials, vast subject expertise, and knowledge of foreign languages and cultures, immigrants educated in schools of library and information science (LIS) in Eastern Europe (EE) and the former Soviet Union (FSU) face numerous challenges when trying to gain work as professional librarians in Canada. We introduce a model for retraining EE-and FSU-educated librarians to expedite their entry into professional librarianship in Canada without their having to undertake the formal requirements of a host-country graduate LIS degree. Taking into account and building upon their existing foreign-earned degrees, this retraining program will result in an ALA-accredited LIS degree that will allow foreign-educated immigrant librarians to compete on a level playing field with domestically educated librarians, thus eliminating discrimination based on what one labor economist calls the 'national origin of an individual's human capital.'

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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