Notice bibliographique
Résumé
Politicians across Canada have come to understand that our economy improves when we develop so-called “value added” industries and jobs. They suppose that turning raw materials into finished goods creates more value added than simply extracting and exporting raw materials directly. That understanding is entirely and often dangerously wrong. Indeed, the meaning of the phrase “value added” has been so widely misunderstood and distorted that we would all be better off if it were struck from the political rhetoric and public debate entirely. The reality is that almost everything Canadians are being told about which activities add value, and which ones do not, is utterly backwards. Manufacturing has come to be seen as the ultimate source of value added, as though the physical manipulation of matter was somehow responsible. For example, the leader of the federal Opposition, the NDP’s Thomas Mulcair, has insisted that “exporting unrefined heavy oil creates no valueadded jobs” and likens exporting raw logs to “a practice typical of undeveloped nations.” It is not just the NDP, similar statements are made across the political spectrum. Fortunately for us, such views can be put to the test. We will see that they are not just inaccurate, they are the very opposite of the reality: Canada’s raw resource extraction industries actually provide the highest valueadded, often by a significant margin. Oil and gas extraction, for example, creates $1.36 million in value per job per year, 15 times higher than the national average for all sectors and more than triple the value added per job per year in the petroleum products refining sector. Absent such data, is there a better way to think about value added that would provide a clear and intuitive defense to misleading statements? Thankfully, there is: industries that generate the most income are industries with high value added. To say a sector like oil and gas extraction creates no value-added jobs is to say it creates no income, which is plainly false. If replacing “income” for “value added” leads a claim to not make sense, then it is likely false and the politician or commentator should be dismissed. Disturbingly, this mixed-up thinking matters a lot for the health of Canada’s economy. Public policy often favours supposedly high value-added industries at the expense of others through subsidies or other supports. Instead of creating value, when governments favour one sector over another they invariably hurt the economy by distorting the allocation of labour and capital, which lowers Canada’s overall GDP. This is true for any subsidy made on the basis of “value added” – subsidizing resource extraction would also be economically damaging. There may be other reasons to provide industry supports – but value added is never one of them. Canada’s economy, and everyone in it, would be better off if politicians and public commentators put the phrase “value added” to rest.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,025 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,007 |
| Études des sciences et des technologies | 0,030 | 0,061 |
| Communication savante | 0,036 | 0,023 |
| Science ouverte | 0,005 | 0,007 |
| Intégrité de la recherche | 0,027 | 0,027 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».