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Record W2148446303

Permanently Precarious? Contingent Academic Faculty Members, Professional Identity and Institutional Change in Quebec Universities

2011· dissertation· en· W2148446303 on OpenAlexaboutno aff
Louise Birdsell Bauer

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationHigher educationIdentity (music)SociologyNeoliberalism (international relations)Public relationsPolitical sciencePedagogySocial scienceEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Universities across Canada are increasingly using contingent, or temporary instructors to teach undergraduate courses (Rajagopal 2002, Muzzin 2008, Lin 2006). Scholars have examined the marginalization of contingent academic faculty members in Canadian universities (Rajagopal 2002, Muzzin 2008). They have also critiqued the ways in which universities use contingent faculty to create surplus value and surplus labour (Rajagopal 2002, Bauder 2006), and support a “primary segment” (Bauder 2006) of the tenured and tenure-track professoriate. In this thesis, I examine the key issues faced by contingent academic faculty members, and how these issues impact on their professional identity. I also investigate into how the use of contingent faculty impacts on teaching practices in higher education. Through the analysis of Labour Force Survey data, I ascertain to what extent contingent academic labour has increased from 1998 to 2008, suggesting that full-time temporary labour is on the rise. I then analyze data gathered from twelve interviews with contingent academic faculty members at Quebec universities to explore how their working conditions and experiences have impacted on their professional identity and perceived quality of instruction. I suggest that professional identity among contingent faculty members is not as static as suggested by Rajagopal (2002) or Gappa and Leslie (1993) Using David Harvey’s (2005) concept of neoliberalism and Ulrich Beck’s (1992) concept of the flexibilization of labour under risk society, I situate the flexibilization of academic labour within the neoliberalization of the university, and also point to linkages between contingent academic labour and the commodification of higher education.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.057
GPT teacher head0.385
Teacher spread0.327 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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