Virtual Speed Mentoring in the Workplace - Current Approaches to Personal Informal Learning in the Workplace
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
Informal learning is the biggest undiscovered treasure in today’s workplace. Marcia Conner, author and often-cited voice for workplace learning, suggests that “Informal learning accounts for over 75% of the learning taking place in organizations today” (1997). IBM understands the value of the hyper-connected informal workplace and informal learning that comes through mentoring. This case study examines a novel approach to mentoring that is shaped only by virtual space and the participants who inhabit it. The authors found that virtual social environments can bridge distances in a way that is effective, creative and inexpensive. Eighty-five percent of virtual speed mentoring attendees reported that this approach achieved their learning objectives. Participants also reported that virtual social spaces like Second Life® are suitable delivery vehicles for mentoring, and that connecting with people was much easier than via telephone or web conferencing.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it