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Record W7133864828 · doi:10.15173/mi.v1i1.5372

Change and continuity in a teaching and learning centre over 50 years: The MacPherson Institute from 1972-2022 at McMaster University

2022· book-chapter· en· W7133864828 on OpenAlexfundno aff
Alise de Bie, Emily Ing, Dale Roy, Lori Goff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
FundersCanadian Medical AssociationSuncor Energy IncorporatedQueen's UniversityMcMaster UniversityParks CanadaShell CanadaUniversity of Calgary
KeywordsExcellenceReputationCurriculumPoliticsNeglectColonialismService (business)Social change

Abstract

fetched live from OpenAlex

McMaster University’s teaching and learning centre, known today as the Paul R. MacPherson Institute for Leadership, Innovation and Excellence in Teaching, opened its doors in 1972 and marked its 50th anniversary in 2022. Based on a review of textual records and guidance from two institute directors, the chapter illustrates how the institute has enacted four strategies for encouraging culture change in teaching and learning: (a) rational planning, (b) social interaction, (c) human problem-solving, and (d) use of political power. We also track how debate about the appropriate role and focus of the teaching and learning centre has caused a pendulum to swing between several poles: (a) between a micro focus on the expressed needs of individual educators and a macro focus on systemic institutional change, (b) between prioritization of local service delivery and an international reputation for innovative research into teaching and learning and (c) between facilitation of change behind the scenes and pursuit of greater recognition. We reflect on why it might be important to know our history, particularly the problematic capitalist and settler colonial interests that initially funded the institute, and what this history teaches us. We end by amplifying the importance of vision, focus, and acting on areas of historical neglect as the institute plans for the future.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.975
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0120.000

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 head0.095
GPT teacher head0.323
Teacher spread0.228 · 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 teacher head, 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
Published2022
Admission routes1
Has abstractyes

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