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Record W3184908561 · doi:10.26522/brocked.v30i2.872

Accountability Measures in Higher Education and Academic Workload: A Ten-year Comparison

2021· article· en· W3184908561 on OpenAlexafffundvenueabout
Silvia Nakano, Alexandre Beaupré-Lavallée, Olivier Bégin‐Caouette

Bibliographic record

VenueBrock Education Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaUniversité de MontréalUniversity of Toronto
KeywordsAccountabilityWorkloadMultivariate analysis of varianceHigher educationDescriptive statisticsPublic relationsPsychologyPolitical scienceMedical educationSociologyManagementMedicineEconomicsComputer science

Abstract

fetched live from OpenAlex

At the core of New Public Management (NPM) reforms sit the concept of accountability of publicly funded organizations. In Canada, it is suggested that provinces have increased the number of accountability procedures imposed to universities and those measures would have had an impact on professors' academic workload. This study relies on the Canadian faculty's perspectives collected through the 2007 Changing Academic Profession (CAP) study (n = 1151) and the 2017 Academic Profession in the Knowledge Society (APIKS) study (n = 2968). Descriptive statistics and a MANOVA comparing the scores of five variables in 2007 and 2017 suggest that academic workload increased significantly in ten years, academic acvities are significantly more evaluated, although less by academics themselves, female academics report dedicating more time to administrative tasks and being more frequently evaluated, and senior administrative staff and external reviewers are perceived as being more involved in the evaluation of academic activities in 2017 than in 2007. Our interpretation is that accountability measures could increase professors' admministrative burden and grant more authority to non-academic staff. Key words: accountability; academic workload; academic profession; new public management; Canadian universities.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.153
GPT teacher head0.473
Teacher spread0.320 · 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 designObservational
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

Citations11
Published2021
Admission routes4
Has abstractyes

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