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Record W2371925547

Canadian University Professors’Perceptions of the Challenges and Support to Engage in Research

2013· article· en· W2371925547 on OpenAlexaboutno aff
石慧

Bibliographic record

Venue海外英语 · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsBureaucracyQualitative researchFocus groupPublic relationsWork (physics)PerceptionSociologyService (business)Medical educationEngineering ethicsPsychologyPolitical scienceBusinessMarketingMedicineEngineeringSocial sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

Research has been an important responsibility for university professors. Although there has been an increased demand for research, few studies have been conducted directly with university professors to obtain their perceptions of the challenges the increased focus on research have presented. This study employed a qualitative methodology to inquire into the change of work life bought about by the increased demand for research, and the strategies professors have adopted to balance their teaching, research and service. It also inquired into the barriers to conducting research, and effective support strategies. Some barriers and support identified in this study were in accordance with what previous studies have identified. Perhaps because the professors interviewed were all tenured, they noted that the increased demand for research had not significantly changed their work life. Strategies they used to help them meet the demands for research included, but were not limited to, integrating their teaching and research, and collaborating with others on research projects. Barriers to research included bureaucratic constraints, newness to research, lack of time, and lack of funding.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.458
GPT teacher head0.510
Teacher spread0.052 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2013
Admission routes1
Has abstractyes

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