Understanding roadblocks to adapting new technologies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In today’s fast-paced world of technology, new innovations are created constantly. Due to the prevalence of these new technologies being regularly introduced into workplaces, making the implementation easier for end-users will help ease the implementation process itself. This research focused on the relationship between University of Northern British Columbia (UNBC) employees and the implementation of the Banner 9 upgrade to UNBC’s ERP, specifically by answering the following questions: how do UNBC Banner users feel about the implementation, what themes were prevalent in the implementation, and what suggestions and recommendations can be made to mitigate resistance and lessen the difficulty of future implementations? Surveys and interviews were used to collect data. Via participant responses, the following suggestions were derived from the themes discovered: hold regular and themed training workshops, increase transparency regarding the implementation, provide IT department demonstrations, and have documentation more accessible to users.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it