Mapping the Intangibilities of the Historic Centre of Porto: ParticipA(C)TION (and its Challenges) in Cultural Mapping Projects
Bibliographic record
Abstract
This article focuses on cultural mapping projects as a strategy for urban development. In particular, it analyzes how one of the most important cultural mapping matrices – its participatory mission – can be operationalized. Moving away from other projects where participation is merely rhetoric or is interpreted with little depth (for example, exchange of information, consultation), the public project Manobras no Porto serves to analyze: 1) how a broad and deep concept of participation can be implemented in practice (and under what circumstances can it be successful) and 2) what kind of results can be achieved. In addition to the potential practical interest, the article also aims to contribute to deepening the debate on cultural mapping. The analysis clearly shows that participation involves a large and complex set of motivations and abilities, and that understanding how cultural mapping projects are developed (and their impact on the territory) requires that they be understood as exercises of negotiation between the agents involved.Keywords: cultural mapping, participation, governance, urban development, ‘Manobras no Porto’ project, PortugalRésumé: Cet article discute de l’importance de la cartographie culturelle en tant que stratégie de développement urbain. En particulier, cet article analyse en quoi la mission participative de la cartographie culturelle peut être opérationnalisée. De plus, cet article prend une distance visà-vis des projets où la participation revêt un caractère strictement rhétorique ou symbolique se limitant à l’échange d’information ou à la consultation et ce, afin d’aborder des expériences où la participation s’exprime de manière plus complète. Afin d’élaborer sur la question, le propos s’appuie sur le projet de Manobras no Porto afin d’analyser : 1) la portée et la profondeur des méthodes de participatives ainsi que les circonstances qui participent à leur succès; 2) le type de résultants auquel l’on peut s’attendre. En plus des enjeux pratiques soulevés par cette étude, cet article vise à contribuer à l’approfondissement théorique de la question de la cartographie culturelle. L’analyse met clairement en évidence la diversité des aptitudes et motivations découlant de la participation à la cartographie culturelle. Il devient alors essentiel que le sens et les enjeux de la cartographie culturelle soient négociés par les acteurs concernés.Mots clé: cartographie culturelle, participation, gouvernance, développement urbain, projet ‘Manobras no Porto’, Portugal
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 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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".