MétaCan
Menu
Retour à la cohorte
Enregistrement W2001128529 · doi:10.15200/winn.142960.04687

The Risky Business of Romance

2015· article· en· W2001128529 sur OpenAlexaboutno aff
Laura Hershey

Notice bibliographique

RevueThe Winnower · 2015
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAgriculture and Rural Development Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRomanceAdvertisingEPICHistoryArtBusinessLiterature

Résumé

récupéré en direct d'OpenAlex

[stag_intro]Global supplies of chocolate dwindling from dry weather, Wineries damaged by prolonged cold winters … Is Romance in peril?[/stag_intro] As Valentine’s Day approaches, and shops begin advertising bouquets of roses, wine, and chocolates, it is clear that romance is being manufactured on a booming scale. One may cast a cynical eye at the supposed trappings and expectations of Valentine’s Day, but it must be admitted that even the most curmudgeon have at their disposal at this time of year the makings of a romantic gesture, without need for elaborate planning or epic imagination. Unlike Christmas, when the sky is the limit, Valentine’s Day is, fortunately, a fairly straight-forward affair, for which we may all be grateful. But are we grateful? Who among us casts a thought to the manufacturers and the work involved in ensuring that the roses are vibrant, the wine robust, the chocolate rich? This Valentine’s Day, who is romancing the romancers? Last winter, for example, a collective gasp was taken when reports were released that the harsh winter that hit the province of Ontario had not only frozen the populace, but the grape vines as well. And we may have landed a spacecraft on a comet for the first time in 2014, but the news that was on everyone’s lips for that month was the report that chocolate supplies are running out, in no small part due to the dry weather in West Africa where more than 70 percent of the world’s cocoa is produced. Mother Nature takes no prisoners, even in our most beloved industries. Following sustained losses, many cocoa farmers have shifted to more profitable crops, like corn, scientists are developing high-yield cocoa trees, and prices are rising exponentially. Wineries, on the other hand, have the option of holding out for a warm summer and what they call “million dollar rains” that fall at just the right time in the growing season to help crops recover, or they take matters into their own hands, employing new technologies such as wind machines, or even look to sell. However, there is an option that does not gamble on the weather, employ expensive new technologies or production efforts, or involve selling. In fact, romance can be insured! A weather risk market has been developed to offer protection against the potentially adverse effects of weather and climate. Of course, insurance against the loss of assets has been around for more than a century, but this product was extremely limited, with the contract fixing payments at the end of a contract to a measure of damage or loss. Payouts were slow, coming only after a field inspection of the assets, and often too late or too small to be fully effective in resolving the situation. Today, an index-based weather insurance product exists that allows for contracts to settle based on values determined by the client, tied to a weather index rather than an asset. In other words, a winery does not need to show that their grapes are not thriving and their stocks depleted, waiting months for the effect of a weather event to translate into a tangible damage. Rather, immediately after a prolonged cold, marked by a set degree and number of days, the winery receives a payout, without need for the winery to show the ravaged merlot vines to anyone for proof. In fact, the options are now limitless for business owners, not only in the agriculture industry. For whomever mother nature affects, and that is to say almost every industry in one way or the other, there is no longer the need to set aside revenues in case of an emergency, or for the annual report to mark a loss due to “adverse weather”. This Valentine’s Day, romance really is alive and well.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,085

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,010
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0160,052
Communication savante0,0170,014
Science ouverte0,0010,010
Intégrité de la recherche0,0040,008
Charge utile insuffisante (le modèle a refusé de juger)0,0250,008

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.

Tête enseignante Opus0,027
Tête enseignante GPT0,232
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe WinnowerMême sujetAgriculture and Rural Development ResearchTravaux en français237 207