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Record W4380243323 · doi:10.1515/9780773575721-001

Foreword

2010· book-chapter· en· W4380243323 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Achieving Student Success: Effective Student Services in Canadian HigherEducation -what lofty goals and what a timely focus for Donna Hardy Cox and Carney Strange in their first collaborative book!The title itself captures the primary value of this book and the commitment of the authors and of the profession on which they are focusing: the success of students.But this volume is much more than the sum of its chapters and the collective wisdom of its authors.In its presentation of both the evolution and the current state of the profession of student services in Canada and the celebration of its roots, this book utilizes an approach that is near and dear to the hearts of most student services professionals -campus ecology.Briefly, the ecological approach emphasizes the importance of the interactions among all aspects of the environment -physical, human, organizational, and constructed -on the behaviour, experiences, and learning of that community and on the relationships among these various components that can help or hinder learning, growth, and development.In this book, Donna and Carney set the stage for the descriptions of services for students by giving us a synopsis of the underlying historical, philosophical, and theoretical foundations of our work.Only by knowing how our profession evolved in Canada, and the unique forces that shaped it, can one fully appreciate Canadian student services.Somehow it seems right that this book is co-edited by Canadian and American educatorprofessionals, since much of our own recent professional history has been informed and supported by our usa colleagues.Some of the "pioneers" of student services in Canada, including Paul Gilmor, Doug Eaton, Fred Nichols, Elspeth Baugh, Bill Stewart, and George McMahon, introduced their campuses to the writings of American academic experts in the newly developing theory about students.By inviting some of these experts to be keynote speakers at our national professional conferences in the 1980s, they provided the opportunity for others to learn what they had discovered

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.431
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5690.390

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 head0.034
GPT teacher head0.267
Teacher spread0.232 · 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.

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
Published2010
Admission routes1
Has abstractyes

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