Preface from the IEEE LAEDC 2022 Conference General Chair
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 Latin-America Electron Device Conference (LAEDC) is a premier IEEE Latin-American and Caribbean Electron Devices conference sponsored by IEEE's Electron Device Society (EDS).Its first edition took place in Colombia in 2019.In 2020 Costa Rica hosted the second edition.Because of the COVID pandemic, in 2021 the conference took place as a full virtual edition.This 2022 the conference took place in the City of Puebla in Mexico with a hybrid in-person and virtual mode.Despite the COVID pandemics the conference shows a historic steadily growing throughout the last 4 years of existence, as showed by the 128 submitted contributions from 37 different countries from America, Africa, Asia, and Europe.This progressive growing comes accompanied by a strong participation of 140 authors from Latin America and the Caribbean.After a careful review process 78 papers out of the 128 were accepted for either in-person or virtual presentation, and for publication in the IEEE conference proceedings.With the review process we keep a high quality of the technical contributions with a 61 % acceptance rate.Latin-America and the Caribbean authors contributed with over 50 % of the submitted papers, followed by India with over 13%, USA and Canada with over 11 %, and Europe with over 20 %, in addition to contributions from Saudi Arabia and Australia.The LAEDC conference is accomplishing the objective of spreading and attracting more participants into the electron devices university and research community in Latin America and in the Caribbean region.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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