Testing a Model of Pretenure Faculty Members’ Teaching and Research Success: Motivation as a Mediator of Balance, Expectations, and Collegiality
Bibliographic record
Abstract
With the aim of advancing the growing research literature on faculty development, a model of pretenure faculty success in teaching and research was proposed. Building from the early-career faculty literature and self-determination theory, we hypothesized that balance, clear expectations, and collegiality predict success by supporting autonomy, competence, and relatedness that, in turn, promote intrinsic motivation and success for teaching and research. The model was evaluated using path analyses on 105 pretenure faculty members' survey responses from two research universities. With respect to teaching success, the benefits of collegiality were mediated by relatedness. For research success, the advantages of good balance were mediated by autonomy and competence. Satisfying these needs within their respective domains positively predicted intrinsic motivation that, in turn, led to greater perceived and expected success. These results have implications for both pretenure faculty development and achievement motivation research literatures, as well as institutional efforts to promote faculty development.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".