Occupational limbo, transitional liminality and permanent liminality: New conceptual distinctions
Bibliographic record
Abstract
This article contributes new theoretical perspectives and empirical findings to the conceptualization of occupational liminality. Here, we posit ‘occupational limbo’ as a state distinct from both transitional and permanent liminality; an important analytic distinction in better understanding occupational experiences. In its anthropological sense, liminality refers to a state of being betwixt and between; it is temporary and transitional. Permanent liminality refers to a state of being neither-this-nor-that, or both-this-and-that. We extend this framework in proposing a conceptualization of occupational limbo as always- this- and-never- that, where this is less desirable than that. Based on interviews with 51 teaching-only staff at 20 research-intensive ‘Russell Group’ universities in the United Kingdom, the findings highlight some challenging occupational experiences. Interviewees reported feeling ‘locked-in’ to an uncomfortable state by a set of structural and social barriers often perceived as insurmountable. Teaching-only staff were found to engage in negative and often self-depreciatory identity talk that highlighted a felt inability to cross the līmen to the elevated status of ‘proper academics’. The research findings and the new conceptual framework provide analytic insights with wider application to other occupational spheres, and can thus enhance the understanding not just of teaching-only staff and academics, but also of other workers and managers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.051 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".