Managing the lifecycle of IEEE's Humanitarian Technology with peer-review
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
The objective of this paper is to describe a Product Lifecycle Management process for IEEE's Humanitarian Technology (HT) “Solutions” that leverages IEEE's peer-review. In 2011, the Humanitarian Initiatives Committee (HIC) of IEEE Region 7 organized a student design competition [1] with the specific objective of understanding the design process of HT “Solutions” to be made available as open source. The 2011 competition was an initial effort to understand open source licensing, open source hardware and the open source development model. Adoption of the open source development model was a stated objective of IEEE's Humanitarian technology Challenge (HTC) [2]. The HIC held a student paper competition in 2013. The goal of the 2013 competition was to nurture the growing interest in Humanitarian Technology in Region 7; to address HIC's concerns from the 2011 competition, more effort was focused in the paper review process for the 2013 competition and standard IEEE peer-review tools and processes were used. This document presents in Section III the lessons learned during these two competitions, and proposes in section IV a Product Lifecycle Management framework for the Intellectual Property Rights (IPR) of OSI development that leverages IEEE's peer-review process.
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 | 0.000 | 0.000 |
| 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 it