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Record W7133886045 · doi:10.15173/mi.v1i1.5003

Teaching and learning for new futures and better lives: The journey of McMaster Continuing Education from 2016-2021

2022· book-chapter· en· W7133886045 on OpenAlexaffabout
Lorraine Carter

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsContinuing educationLifelong learningFutures contractNature versus nurturePandemicPlan (archaeology)Adult educationCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

The purpose of McMaster Continuing Education (MCE) is to serve non-traditional learners—often called adult learners—as they seek ways to advance their careers and pursue their love of lifelong learning. Like others who attend university, these learners deserve the best we have to offer. Recognizing this goal, the reader is invited to learn about themes that characterize continuing education in Canada and the earliest days of continuing education at McMaster University. The reader is also invited to reflect on how MCE has advanced learning for adults since 2016 when new leadership and a new strategic plan guided its development. Last, this chapter positions MCE as a leader in the use of innovative learning strategies and explores how it was well equipped when the global pandemic of 2020 challenged educational institutions around the world. How MCE navigated its transition to remote learning for students and educators prior to the pandemic and its plans for teaching and learning in post-pandemic times may be helpful to other units wanting to nurture some of the practices MCE discovered during the pandemic.

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)0.001
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 score0.896
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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