MétaCan
Menu
Back to cohort
Record W6992038568

Jurisdictional capacity and landscape heritage : a case study of Malta and Gozo

2007· article· en· W6992038568 on OpenAlexaff

Bibliographic record

VenueOAR@UM (University of Malta) · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsArchipelagic stateSense of placeState (computer science)PoliticsPrideCultural landscapeGovernment (linguistics)Industrial heritage
DOInot available

Abstract

fetched live from OpenAlex

Amongst the citizens of the Mediterranean archipelagic state of Malta, the current broad understanding of landscape as heritage is that it is a key component of the tourism industry but somewhat dead and alien to daily modern life. In its material expression, heritage is tolerable and acceptable as long as it is functional; highly appreciated if appropriated as a private good; but insufferable if it clashes with private and individual interests, foremost amongst which is construction. Moreover, the relationship of the Maltese with the past is also disengaged, elusive and uncertain: they remain bereft of a unifying national consciousness that includes some general agreement about the salient features of their own history, thanks in part to a fierce, political factionalism. And yet, this paper argues that the Maltese may be energized to develop a better appreciation for their island and its past, if a stronger sense of national identity, and a ‘progressive sense of place’ are introduced. This would appear much more feasible on the smaller island of Gozo than on the main island of Malta. A virtuous cycle could develop between a stronger sense of pride in local landscape heritage as a working, living culture which in turn fosters sustainable development, both of these being driven by a securing and flexing of a stronger jurisdictional capacity.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.345
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.232
Teacher spread0.214 · 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 teacher head, 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

Citations1
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueOAR@UM (University of Malta)Same topicIsland Studies and Pacific AffairsFrench-language works237,207