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Record W2208833104 · doi:10.47678/cjhe.v45i4.184449

Student Affairs in Canada in 2013 Perceptions, Trends, and an Outlook toward the Future

2015· article· en· W2208833104 on OpenAlexafffundvenueabout
Jennifer Browne, David Speed, Lilly J. Schubert Walker

Bibliographic record

VenueCanadian Journal of Higher Education · 2015
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsStudent affairsDiversity (politics)ProfessionalizationPerceptionPolitical sciencePerspective (graphical)Public relationsHigher educationPsychologyLaw

Abstract

fetched live from OpenAlex

Chief Student Affairs Officers (CSAOs) are senior-level student affairs personnel. In 2011, 33 CSAOs responded to a national survey and provided a professional perspective on field development, student services, as well as predicted five-year trends for student affairs. In 2013, 17 CSAOs responded to the same survey and provided further information on these topics. Results indicated that attitudes towards diversity and technology remained stable between 2011 and 2013. We established that CSAOs have less positive attitudes towards research, evaluation, and assessment than they do towards communication and leadership. Here, we discuss at length the implications of these finding, as well as the potential for research into student affairs. In addition, we examine the continued professionalization of the CSAO field and note that research into CSAOs should be proactive instead of reactive.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.414
Teacher spread0.372 · 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

Citations3
Published2015
Admission routes4
Has abstractyes

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