The "Ten-Year Road:" Joys and Challenges on the Road to Tenure
Bibliographic record
Abstract
This paper explores the pre-tenure experiences of five assistant professors employed in the faculty of education of a research-intensive university. Acting as co-researchers, the authors researched their experiences through a critical narrative approach. The analysis, informed by critically-oriented writing that extends Wenger's Communities of Practice. takes as axiomatic the notion that globalized processes of economic restructuring are mediating work in the academy and examines its local manifestations. Discussions explore issues of power, equity, shifting identities, and the need for improved navigational resources. The authors found that the process of critically and collaboratively researching their pre-tenure experiences offered insight into sites of personal and professional agency and also served as the impetus to form the social semiotic spaces that encouraged a sense of community. The Dean, a tenured member, but also a newcomer, serves in the role of critical friend.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.042 | 0.031 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".