MétaCan
Menu
Back to cohort
Record W3176987896 · doi:10.11575/prism/38890

Perceptions of Faculty With Respect to Change at a Western Canadian College: An Exploratory Study

2021· dissertation· en· W3176987896 on OpenAlexaboutno aff
Laurent Joseph Gerard Couture

Bibliographic record

VenueOpen MIND · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPsychologyExploratory researchMedical educationMedicineSociologySocial science

Abstract

fetched live from OpenAlex

Publicly funded postsecondary education institutions are experiencing significant forces of change which have been acerbated by the global pandemic. The results of this project indicate that leaders of those institutions in North America should engage their faculty to help their respective colleges or universities survive, and perhaps even thrive in these evolving circumstances. In this exploratory case study, the research participants (faculty in a small central Alberta institution) contributed interesting insights with respect to their perceptions of change and the need and urgency for change in the sector. In addition, they shared interesting perspectives with respect to several topic areas, in particular provincial governance and technology. They especially identified that the influence of technology, with respect to curriculum, teaching and learning and other aspects of institutional operation, was pervasive. Furthermore, I discovered that faculty in general may not be naturally inclined to contribute to their institution’s change efforts, given their primary job responsibilities. However, it appeared that some members, generally those who had taken on leadership roles and/or additional education, demonstrated awareness of larger and far reaching aspects of the change forces impacting the sector. Thus, faculty members, when adequately prepared for discussions related to change, can enhance the welfare of their home institutions in these challenging environments. Thus, it may take some preparation by committed leaders to get larger portions of that constituency group to contribute to the larger organizational effort, but early indications are that the investment in those efforts are worthwhile.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.989

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 integrity0.0000.000
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 head0.202
GPT teacher head0.453
Teacher spread0.251 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOpen MINDSame topicHigher Education Practises and EngagementFrench-language works237,207