Community Consensus: Volunteerism - The SPE Strength That Lets Me Sleep Soundly at Night
Bibliographic record
Abstract
President's column We have a strong future, thanks to hard-working young members What keeps you awake at night? That is a question often posed by one of my favorite SPE presidents ever, Helge Hove Haldorsen. Of course, he was usually referring to an area of risk or danger. I ask that question of myself often. Sometimes I even answer myself. But today I want to turn that question around—what helps you sleep at night? For me, it’s knowing that the future of SPE is safe in the hands of the Millennial generation. Yes, the Millennials. Contrary to what you may have been led to believe, our young professionals are enterprising volunteers. Globally, this group is bringing volunteerism to new heights because they believe in blending their personal and professional lives to help others. Recently, I witnessed one of the best volunteerism demonstrations across our organization: the Kingdom of Saudi Arabia (KSA) section’s Annual Technical Symposium and Exhibition hosted yearly in Dhahran, Saudi Arabia. It dawned on me while attending the ATS&E that a worry over the supposed lack of global volunteerism is not something that keeps me awake at night. In fact, SPE’s volunteer culture helps me to sleep at night. Over these past 5 years, I have served on SPE’s international board first in the capacity of Canadian regional director and now as 2018 president. I cannot recount the number of vigorous (not necessarily rigorous) discussions over the state of volunteerism, mostly in the negative. The narrative often goes like this: The _____ conference has been going for 10 years (or 20, or 30), and this same group of volunteers has run it. Now that they are all retiring or moving away, there is no way this conference can continue. Or: With the reduction in regional directors and/or SPE staff, there is no way this event can continue. The new generation just does not understand volunteerism. And the best one of all (one that I am guilty of saying): With the spreading of SPE to all parts of the globe where national companies dominate, how are we ever going to have volunteer events? All I can say is wrong, wrong, and wrong. I can clearly say that volunteerism is alive and well everywhere in the SPE world. Today’s youth—both professionals and students—embrace volunteering, but they make it their own. It may not be the way we in the older generations define volunteering; however, not only does it work, but their methods also succeed. Let me give some examples.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".