Notice bibliographique
Résumé
Directly or indirectly, each of us has felt the impact of recent economic change, and some of us feel it more than others. Layoffs, tighter budgets, hiring freezes—they’re all adding to increased on-the-job tension. An American Psychological Association survey in 2008 found that eight out of 10 people have “major stress” due to the current economic situation. Mental-health claims are the fastest-growing category of Canadian disability costs, according to the Canada Safety Council. And with all this, many places of employment continue to treat workplace mental illness and as a taboo subject. Mental health is more than just a personal issue—it’s a social issue and a workplace issue. Ignoring mental health in the workplace costs industry billions each year. But mental-health advocates are working to turn that around. “We have to be good employers,” says Lloyd Craig, president and CEO of Coast Capital Savings, “no matter if the economy is good or bad.” He adds that treatment of mental illness is still under-resourced, and too few people are being diagnosed. Since his teenage son’s depression-related suicide in 2001, Craig has become a champion of shining a light on mental health issues in the workplace. “In the developed world, for people between the ages of 15 and 44, depression is the number-one burden of disease,” Craig says. “At Coast Capital Savings, our number-one drug cost is anti-depressants.” Craig counts the introduction of a mental-health survey among employees in 2006 as one of his company’s greatest accomplishments. Staff members shared survey results and discussed them at company workshops. Many were shocked at the number of people feeling depressed and even suicidal at workplace. Bringing people together to talk about how they feel laid the groundwork for being open about it, which eliminates the stigma. Craig believes that we need to understand that the whole person comes to work every day. Someone with a kidney problem can talk about it over coffee. But can someone with depression talk about that over coffee? In tough economic times, companies cut wherever they can. If companies are looking for places to cut, mental health should be the last place they look. Mental health is the ability to meet our obligations and challenges; adapt to change and adversity; share, not hoard; give credit, not blame; relate well to others; and lead by example.
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 | 0,002 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,008 | 0,005 |
| Communication savante | 0,008 | 0,011 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,006 | 0,016 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,059 | 0,040 |
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 ».