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Record W7055831229

Delineation of a proof-of-concept process for NBT uptake in each country

2025· report· en· W7055831229 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVU Research Portal · 2025
Typereport
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsAthena Sustainable Materials Institute
FundersResearch Executive AgencyEuropean Commission
KeywordsData collectionProcess (computing)Nonprobability samplingStakeholderQualitative researchScale (ratio)Semi-structured interviewThe Conceptual FrameworkQuality (philosophy)Deliverable
DOInot available

Abstract

fetched live from OpenAlex

This report serves as Deliverable 4.1, titled "Delineation of a Proof-of-Concept Process for NBT Uptake in Each Country", and presents findings from a qualitative multiple-case study that explored the needs and perspectives of key stakeholders to engage with and scale up nature-based therapies (NBT). This study was led by the Vrije Universiteit (VU) Amsterdam, conducted as part of the NATURELAB project and in collaboration with academic and non-academic project partners, and used a transdisciplinary approach. <br/>Data collection and analysis were guided by a conceptual framework, which combined “interactive-learning-action” and “system innovation perspective”. Scaling up was understood as a cyclical process of embedding novel structures and cultures into existing ones, requiring active stakeholder involvement. Key informant interviews were the main method for data collection. Purposive and convenience sampling was used to select interview participants from eight different categories: i) the medical and health care community; ii) scientific community and innovation structures; iii) environmental organisations; iv) policymakers and governance; v) small and medium-<br/>sized enterprises; vi) civil society; vii) the media; and viii) people working in the field of NBT. In total, 100 KIIs were conducted in the five project countries (i.e. Germany, Greece, the Netherlands, Peru, and Portugal). Project partners (from within and outside of R&amp;I organisations) led data collection and initial analyses in their respective countries, with training and support provided by the VU. Interview data was thematically analysed using the framework method and synthesised in five country chapters. Comparative analysis was conducted to explore differences between the five project countries and eight interviewee groups. Various quality and validation checks were performed throughout the process.<br/>The five country chapters provide detailed narratives of the perceived needs, benefits, and concerns of study participants in each country, including their views of landscape and other factors influencing the potential integration of NBT into existing systems, and of possible strategies for NBT integration and stakeholder engagement. The comparative analysis showed that the health benefits of nature exposure were widely acknowledged across country data sets. From the total interview data, seven broad categories of stakeholders were identified for future engagement in the scaling up of NBT, with i) the health and social care system being mostly mentioned, followed by: ii)<br/>the education sector; iii) citizens, patients, and civil society; iv) government; v) environmental organisations; vi) research community; and vii) business. Potential influencing factors could be grouped within ten broad categories, with i) financial resources most often cited by study participants, and next ii) geography, iii) acceptance, iv) communication and dissemination, v) awareness, vi) culture, vii) research evidence, viii) human resources, ix) regulations, and x) demand. These influencing factors were considered to have the ability to be both constraining and enabling the uptake and integration of NBT in existing systems in different countries. As anticipated, there will be some systemic barriers that require addressing in all countries, like securing sustainable funding sources for making NBT financially and equitably accessible to potential clients. Also, regulations and human resources will be systemic factors that require careful navigation by niche actors. There<br/>were some variations in the dominance of specific categories of influencing factors when comparing the five countries or the eight interviewee groups. For example, while financial resources were overall the most commonly cited influencing factor, this was neither the case for all countries nor for all interviewee groups. Additionally, the comparative analysis revealed some notable differences in stakeholder perceptions and needs, both at country level and between interviewee groups. These<br/>differences suggest that tailored and context-specific scale-up approaches will be required. <br/>While no definitive conclusions can be drawn from this first cycle of stakeholder consultation and engagement, it does provide insights into ways forward, including processes that can be put in motion to facilitate the uptake and integration of NBT in NATURELAB’s five project countries. For example, participants in this study perceived there to be multiple potential benefits of NBT for human health and well-being, health systems, and the human-nature relationship. A key next step will be to start communicating and disseminating this positive message to more stakeholders. Additionally, this study showed that for some stakeholders, like health providers and funders, such messages need to be supported with research evidence; therefore, where available, such evidence needs to be highlighted, and where not available, such evidence needs to be generated as part of the NATURELAB project or through other research initiatives. Another practical next step will be to start a second cycle of consultations with stakeholders, such as through the organisation of focus group<br/>discussions. Such consultations are necessary for further developing and refining the preliminary strategies for NBT integration and stakeholder engagement outlined in this report. More general and country-specific recommendations are described at the end of this deliverable.

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 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)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.157
GPT teacher head0.440
Teacher spread0.282 · 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