First sheld-on conference meeting. Proceedings of the first COST Action CA16226 Conference Meeting Riga, Latvia, 10 October 2018
Bibliographic record
Abstract
We are pleased to welcome you to the first international conference of COST Action CA16226: "Indoor living space improvement: Smart habitat for the elderly" (SHELDON).This conference, held in Riga, Latvia on October 10th, 2018, follows a year of joint work, short term scientific missions, and networking.It is the first SHELDON organised event where participants will share their work over the past with each other.Researchers and practitioners working in habitats and furniture, ICT tools, services, and devices, and health care for older adults will come together to discuss, to share, and to learn from one another.We hope the conference provides an opportunity to build new collaborations between the working groups, to extend both the fundamental and applied research work through multidisciplinary cooperation that ensures stakeholder needs are addressed.Through these activities, SHELDON will contribute to healthy, active, safe, and sustainable environments for older adults that allow them to live independently and with dignity.The needs of an ageing population extend beyond the border of any country or region and are truly a global concern.Together, SHELDON participants will advance the state of the art to refine, innovate, and create new solutions that drive global change that increase the wellbeing of older adults, that support their caretakers, and that ease the socioeconomic concerns related to ageing.The first conference of the SHELDON COST Action will allow us to strengthen our network, find joint interests, and further define the activities we will cooperate on over the coming years.We hope that all attendees take advantage of the degree of expertise present, engage, and challenge each other.We are convinced our first conference will be a successful event that broadens our network, results in new collaborations, and builds lasting friendships within the SHELDON network.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.645 | 0.422 |
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 source (direct Gemma or distilled Codex), 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".