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Record W4399777624 · doi:10.47989/ir292854

Isolated, individualised, and immobilised: information behaviour in the context of academic casualisation

2024· article· en· W4399777624 on OpenAlexaffabout
Rebekah Willson, Owen Stewart‐Robertson, Heidi Julien, Lisa M. Given

Bibliographic record

VenueInformation Research an international electronic journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsMcGill University
Fundersnot available
KeywordsContext (archaeology)SociologyData sciencePolitical scienceEnvironmental planningGeographyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Introduction. Universities rely increasingly on contract academic staff for teaching and research activities; yet, working in precarious conditions, these staff face significant challenges in finding relevant workplace information, in engaging with colleagues, and in building their careers. This study examines contract academic staff perceptions of precarity and workplace marginalisation, focusing on the implications of situational and environmental influences on their information practices. Method. In-depth, semi-structured interviews with 34 contract academic staff, working in various disciplines across Canadian universities, were conducted to examine their information practices. Analysis. Interview data were analysed using reflexive thematic analysis, drawing on everyday life information seeking and information marginalisation theories. Results. Results of the study show that 1) contract academic staff conduct their work within isolated information environments; 2) this isolation leads these staff to develop highly individualised information practices; and 3) the information activities of contract academic staff are often immobilised, due to the precarious contexts that shape their work and personal lives. Conclusion. Precarious employment and information marginalisation are deeply entwined for contract academic staff. This results in frustration, disappointment, and uncertainty with their work and personal circumstances. Institutional challenges can seem intractable, particularly where task-related information provision (when available) cannot address systemic concerns.

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)0.010
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.010
Open science0.0000.000
Research integrity0.0000.002
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 head0.037
GPT teacher head0.425
Teacher spread0.388 · 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 designNot applicable
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
Published2024
Admission routes2
Has abstractyes

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