Bibliographic record
Abstract
The role of trust in traditional face-to-face mentoring has already been investigated in several research studies. However, to our knowledge, very few studies have examined how trust is established in electronic-mentoring relationships. The purpose of the current study is to examine by means of the Mayer et al. (1995) model how e-mentees perceive a prospective e-mentor's trustworthiness and how these perceptions influence the decision to be mentored by a particular e-mentor. A sample comprised of 253 undergraduate and graduate students from the Telfer School of Management at the University of Ottawa participated as potential mentees by completing a survey after having reviewed the selected e-mentor’s profile. The survey employed quantitative and qualitative measurements to assess the mentee's perception of the prospective e-mentor’s level of trustworthiness. In the quantitative section, both the Behavioural Trust Inventory (Gillespie, 2003) and the Factors of Perceived Trustworthiness (Mayer et al., 1999) were measured. The Behavioural Trust Inventory was designed to measure the extent to which a mentee is willing to be vulnerable in e-mentoring relationships. The Factors of Perceived Trustworthiness (ability, benevolence and integrity) were designed to measure these three attributes’ contributions to the extent to which the mentees perceived the e-mentor as being trustworthy. The factorial structure (confirmatory factor analysis) and internal consistency (Cronbach’s alpha) of the constructs were examined. Structural equation modeling was conducted to test the fit of the models (Behavioural Trust Inventory and Mayer et al.) to an e-mentoring context. In the qualitative section, the indicators of trustworthiness were collected by means of an open-ended question and were analyzed by means of content analysis. The results of the quantitative analysis revealed that the models (the Behavioural Trust Inventory and the Factors of Perceived Trustworthiness) have an adequate fit with the e-mentoring model after accounting for some correlated error terms. The results of the qualitative analysis identified some other attributes (apart from ability, benevolence and integrity groups) have an influence on the extent to which the mentees perceived the e-mentor as being trustworthy. The main finding is that the Mayer et al. (1995) model appears to be a suitable device for the measurement of trust in e-mentoring relationships at the initiation phase.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".