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Record W3205583202 · doi:10.55016/ojs/jet.v54i2.73591

“Assistant Professor with an Asterisk”: Conflicting Tensions in the Workplace Experiences and Professional Identities of University Faculty on Fixed-Term Contracts

2021· article· en· W3205583202 on OpenAlexaffabout
Kevin Gosine, Robert B. Kristofferson, Glenn Skrubbeltrang, Michelle Webber

Bibliographic record

VenueJournal of educational thought. · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Law and Ethics
Canadian institutionsWilfrid Laurier UniversityBrock University
Fundersnot available
KeywordsAsteriskTerm (time)SociologyPedagogyPsychologyManagementPublic relationsPolitical scienceComputer scienceEconomics

Abstract

fetched live from OpenAlex

Abstract: Drawing on identity work theory and social capital theory, this qualitative study explores how Canadian university faculty on fixed-term contracts construct their professional identities in response to the opportunities and limitations associated with their employment. Study participants generally appreciate their remuneration, relative professional autonomy, the control they have over the products of their labour, and the opportunity to teach at the postsecondary level. Positive aspects of their employment, however, were undercut by various professional limitations. These limitations include job precarity, little acknowledgment of their contributions to their fields or to their universities, limited access to research funding, and the challenge of building bonding (i.e., intra-institutional) social capital. The perceived disconnect between participants’ professional qualifications and the precarity of their employment situation further undermines their ability to cultivate positive professional identities. Participants negotiate the contradictory tensions of their employment via one or more of the following adaptive strategies: 1) pursuing research as best they can given prevailing obstacles; 2) making teaching the focal point of their professional identities; and 3) utilizing bridging social capital to create opportunities and forge connections beyond the university. Future research directions are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.016
Scholarly communication0.0050.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.049
GPT teacher head0.324
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainIncentives
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 routes2
Has abstractyes

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