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Record W7137563685

Catch the Gleam

2011· other· en· W7137563685 on OpenAlexaboutno aff
Donald N. Baker

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2011
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMountScholarshipInstitutionCredibilityOral historyPoliticsHigher education
DOInot available

Abstract

fetched live from OpenAlex

Mount Royal College began in Calgary in 1910 as a small, private residential Methodist institution offering advanced elementary and secondary schooling to students from both the city and the rural hinterland. Today, it has become a degree-granting university with over 10,000 students in credit programs and some 40,000 more in continuing education courses. A former president of Mount Royal, Baker brings to this project his skills and insight as both historian and veteran administrator, examining the challenging process of inserting new degree programs and universities into the framework of academic credibility in Canada and continually adapting to a changing social, economic, and political environment. Catch the Gleam: Mount Royal, From College to University, 1910-2009 draws on an impressive body of archival sources, oral histories, and interviews as well as sound and current scholarship on the history and theory of post-secondary education.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.208
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.003
Scholarly communication0.0070.008
Open science0.0010.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2080.046

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 head0.144
GPT teacher head0.419
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
Published2011
Admission routes1
Has abstractyes

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