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Record W4312752250 · doi:10.5751/es-13340-270409

Using meaningful places as an indicator for sense of place in the management of social-ecological systems

2022· article· en· W4312752250 on OpenAlexvenueno aff
Falco Knaps, Sarah Gottwald, Christian Albert, Sylvia Herrmann

Bibliographic record

VenueEcology and Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsnot available
FundersLeibniz-Gemeinschaft
KeywordsOperationalizationSense of placePublic participation GISGeographic information systemScale (ratio)Environmental resource managementGeographySociologyCartographyEpistemologySocial science

Abstract

fetched live from OpenAlex

Sense of place is increasingly advocated to support the management of social-ecological systems. Given the concept’s complexity, we suggest that an indicator for sense of place is needed to facilitate its application in practical planning. We propose such an indicator called “meaningful places,” defined as geographic locations to which (i) immediately perceived as well as socially constructed meanings are ascribed and (ii) evaluative attachments are tied. We applied the indicator in two independent case studies, Lübeck and Lahn, both of which aimed to integrate sense of place in an actual planning process. The case studies differed in the spatial scale of the meaningful places, the indicator’s operationalization, and the specific assessment methods. In the Lübeck case, semi-structured interviews and a simple mapping method were used to analyze participants’ “home-regions.” The results revealed diverse but overlapping locations characterized as aesthetic, different from others, close to nature, and quiet (place meanings). In the Lahn case, a public participation GIS (public participation geographic information system [PPGIS]) survey was conducted and yielded insights into the spatial distribution of meaningful places. The results reflect a wide range of place meanings linked to, for example, activities, aesthetic qualities, or well-being. Furthermore, participants expressed different intensities of place attachments. Although the indicator is still in an exploratory stage, it allows for reflection on potential benefits for planning practitioners. The resulting data can be combined with spatial information usually used in planning processes, e.g., about the state of the underlying physical environment and/or foreseeable drivers of change. This offers new opportunities for managers regarding the determination of priorities to conserve meaningful places, the anticipation of conflicts, and the utilization of the communicative power of meaningful places. We argue that the benefits for planning justify a new direction of research devoted to the development and further advancement of the indicator.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.008
Science and technology studies0.0030.009
Scholarly communication0.0060.009
Open science0.0010.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.348
Teacher spread0.301 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations21
Published2022
Admission routes1
Has abstractyes

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