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Record W1999320730 · doi:10.5430/wje.v2n6p32

The American Professoriate: A Status Check of Factors and Perceptions

2012· article· en· W1999320730 on OpenAlexvenueno aff
Raymond W Francis, Larry J. Corbett, Michael Leonard Magarrey

Bibliographic record

VenueWorld Journal of Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipPromotion (chess)PublishingHigher educationLiberal arts educationThe artsPerceptionPublic relationsSociologyPolitical scienceQuality (philosophy)Faculty developmentMedical educationPedagogyPsychologyProfessional developmentPoliticsMedicineLaw

Abstract

fetched live from OpenAlex

Since the publication of Scholarship Reconsidered: Priorities of the Professoriate (Boyer, 1990) many changes have taken place in higher education in America. However, how have faculty perceptions of aspects of the professoriate such as teaching, research, publishing, administration, quality, and areas of interest, changed in the twenty-plus years since the initial research on this topic. This project provides an overview and insight in the current concerns of faculty with respect to promotion and tenure issues. The findings suggest a number of changes have taken place in the way scholarship is perceived by faculty. Publishing still maintains a significant role in decision-making about tenure and promotion and there is still a significant difference in the perception of factors in achieving tenure and promotion between research institutions and liberal arts institutions. There are differences between tenured and non-tenured faculty in concerning what constitutes appropriate scholarship. The scholarship of teaching is seen as important by faculty and yet most have indicated they have little formal teacher training. In both research and liberal arts institutions research and grant writing are seen as important, but there is also a concern that these activities detract from the primary role as a teacher.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.088
GPT teacher head0.479
Teacher spread0.391 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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