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Record W6893169571 · doi:10.5281/zenodo.14234502

REHOUSE public report: Design of social activities tailored to the local contexts

2024· article· en· W6893169571 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsCanadian Anesthesia Research Foundation
FundersEuropean Commission
KeywordsPlan (archaeology)Order (exchange)Key (lock)Social innovationSocial change

Abstract

fetched live from OpenAlex

Summary: The present document is the REHOUSE report D1.4 developed within WP1 “Social Innovation for People-centric Renovation Processes“ in the framework of the European co-funded REHOUSE project. This report presents the design of the social activities adapted to the local contexts in order to contribute to the validation of the Renovation Packages at TRL7.Social actions will include co-design approach and methods to increase the acceptance of technical innovations. Social activities, in general, will be oriented towards “behavioural change”. This report presents information about the REHOUSE basic principles in terms of social innovation activities and behavioural change in addition to some key elements to plan an engagement strategy. The importance of the facilitator’s role is also highlighted and presented.First plans of social actions and events foreseen for each of the four REHOUSE Demo-sites are provided. These are the plans at the current stage of progress of the project but potential adaptations to the plan could be considered (if needed) through the project execution based on the real state to progress and additional needs from the demo-sites. Further public reports of the REHOUSE project: Publications – REHOUSE

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.058
GPT teacher head0.250
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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