Definition of Trust as a Catalyst and the Implications Therefrom: A Deduction from a Literature Review
Bibliographic record
Abstract
Much has been written about trust and trust-building, but no consensual definition of trust has been developed. In this article, the definition of trust as a catalyst is proposed based on a deduction from an aggregation of peer-reviewed articles from across several disciplines and hermeneutic examination of the contents. The paper suggests that discipline-related points of view and common usage of trust as a noun and or a verb leads to confusion in trying to develop a consensual definition. Given the accepted universality of trust, a consensual definition would help achieve a further understanding of both trust and trust-building. The proposed definition permits recognition of discipline-related definitions and suggests the focus of trust should be directed to establishing the conditions under which trust enables successful exchange interactions (i.e., trust-building). The separation of trust and trust-building has implications for management and other relationships. Suggestions for further research are included.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".