Förhandlingar om kulturföremål. Parters intressen och argument i processer om återförande av kulturföremål
Bibliographic record
Abstract
Disputes over demands for a return of cultural objects, in many cases museum objects, are well known. But such conflicts can also be seen as negotiations, which can be analyzed as well. This thesis adds a negotiation perspective and by a close scrutiny points out certain factors and arguments which can facilitate a process, cause a blocking, or rescind a blocking. By referring to such a process as a form of negotiation, this might bring about possibilities for the parties involved, which they otherwise would not been considering. It may occur that behind a party's arguments some interests could have been hidden consciously, or been surpassed by something else, which can cause a blocking.\n\nThe aim of this thesis is to highlight the actors' different perspectives in negotiations concerning return of cultural objects, how they argue in a negotiation position and how the process can affect the management of cultural objects.\n\nThe negotiation perspective can generate knowledge for increased understanding of motives behind the parties' positions. The specific traits of negotiation processes and what arguments and interests that may be important during the passage of events are examined in two case studies. \n\nOne case is about the process of the return of medieval ecclesiastical objects from a museum context to two rural churches on Gotland, Sweden. The other study examines the process of negotiating the return of a totem pole from the Museum of Ethnography in Stockholm to the people of Haisla First Nation, Canada.\n\nThe material that has been analyzed in this thesis shows in which phase in the process and why the parties changed their opinion, thus making a constructive solution possible.\n\nThe thesis identifies aspects that the parties considered important in the negotiation process, and the outcome indicates how essential factors are valued in cases where the return of cultural objects are negotiated.\n\nValues and arguments, present in the case studies, are identified and categorized, which then are compiled into tables in order to make them comparable. These tables show in what period turning points took place in the process, and which aspects made parties change their respective standpoint, as the situation shifted from disagreement to consensus. For instance, groups of arguments that associates to the categories are: place, cultural identity, conservation and economy, are strong indicators of what some people find important. This thesis shows why and how the parties were convinced of the benefits of a solution grounded in consensus. By using a negotiation perspective the analysis identifies incentives that created a progressive process. The findings are useful for better understanding of future processes of returning cultural objects and benefit the development of the management of cultural heritage.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.031 | 0.013 |
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".