On Livability, Liveability and the Limited Utility of Quality-of-Life Rankings
Notice bibliographique
Résumé
When Calgary placed fifth on the Economist Intelligence Unit’s Liveability Ranking in 2012, the city’s mayor, Naheed Nenshi, quickly acknowledged how the city’s spot on the ranking proved “[Calgary has a] thriving business community, and a vibrant cultural scene that is attracting people from around the world”. Calgary’s 32nd place on the Mercer Quality of Living Index did not attract the same attention from the Mayor, or the local media. Mayors and the media alike are big fans of quality-of-life rankings whenever their cities earn a well-placed spot. But the fact that Calgary can place so highly on one ranking and so middlingly on another in the very same year is evidence of just how varied these rankings are and how misleading their interpretation can be. Made from a blend of data and feedback, and sometimes relying heavily on “good-natured, frequently late-night and jetlagged debate,” these rankings are impacted by which cities are selected, which data are used, and how the data are organized and weighted. Even amongst the rankings, agreement on what constitutes “livability” is a point of contention. Vancouver can jump from 15th place on Monocle magazine’s list, to third place on the Economist Intelligence Unit’s, and not even make the cut on PricewaterhouseCoopers’ ranking. Yet, when cities celebrate their place on these indexes, it is frequently the narcissism of small differences. In the Economist Intelligence Unit’s 2014 Liveability Ranking, there is a scant 1.8 per cent difference between top-ranked Melbourne’s overall score and that of 10th-place Auckland. In fact, nearly half the cities ranked (64 of 140) had scores above 80 per cent, meaning they present “few, if any, challenges to living standards.” The upshot, of course, is that “liveability”, as defined by The Economist, is biased toward those cities that are the least challenging for residents. That hardly qualifies one as an exceptional city, let alone the “best” of anything. Some of these rankings were created with the explicit intention of assisting businesses in assigning compensation for expatriate workers. They have quickly become something more. Lists designed for specific audiences and uses, have become a promotional tool for publicity-hungry and somewhat self-conscious cities. When tailored at a particular niche audience — grad students, for instance, or retirees — they can be useful. But the temptation to use these lists to develop public policy must at all costs be avoided. The reality is that the quality or “livability” of a city is very much a matter of personal preference. Calgary may be a less challenging place to live than San Francisco or Saigon, but whether that makes it a better place to live is a question that cannot simply be quantified by a quality-of-life ranking.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,022 | 0,128 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».