Swept to the Shores: An Analysis of Crisis Response Strategies by Canadian Political Leaders in the Aylan Kurdi Crisis
Notice bibliographique
Résumé
Motivation: This MRP explored Stephen Harper and Chris Alexander’s responses to the Aylan Kurdi crisis Canada faced in September 2015. Aylan Kurdi, a three-year old boy, was found dead and photographed on the Turkish shore, close to where he drowned on September 2, 2015. Tima Kurdi, Aylan Kurdi’s aunt, told the media that the family had been trying to come to Canada through a G5 sponsorship agreement but had been denied entry by the Canadian government. Alexander and the Canadian government were criticized – and a crisis resulted. The crisis was particularly important as it came forward during the 2015 Canadian election, when the Conservative government’s refugee policies gained increasing attention. Arguably, this impacted professional image and reputation, as well as Canada’s national reputation. Purpose: The purpose of this MRP is to identify the types of image repair strategies Chris Alexander and Stephen Harper used to respond to the crisis in terms of both professional and national reputation. Methods: Two video responses were selected for examination; they were representative of Harper’s and Alexander’s initial responses to the Aylan Kurdi Crisis. The videos were chosen based on frequency of words such as: crisis, apologize, tragedy, failure, action, and blame. These words have come up frequently in the literature review conducted for this MRP. A content analysis was conducted for this MRP. Both videos were transcribed and coded to determine the types of crisis response strategies used by these leaders. The strategies examined are categorized into four types: denial, evasion of responsibility, reducing offensiveness, and mortification. Descriptors for each category (or sub-strategies under each category) included shifting the blame, defeasibility, bolstering, and apology. All 15 descriptors were drawn from the works of Coombs and Benoit (based on Image Repair Theory and Situational Crisis Communication Theory). To quantify percentages, the entire numbers of crisis responses were divided the number of times a particular crisis response strategy was used. Results: Results indicated that both Harper and Alexander used crisis response strategies of reducing offensiveness, denial, evasion of responsibility, and mortification. Both leaders mainly focused on reducing offensiveness in terms of transcendence, bolstering, corrective action, and performance history. Through an analysis of their responses, it was evident that both leaders addressed Canada’s national reputation. Conclusion: The findings of this MRP present a key area for further exploration in crisis communication: how nations use image repair strategies to restore a tarnished image.
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 | 0,004 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,006 | 0,009 |
| Études des sciences et des technologies | 0,013 | 0,004 |
| Communication savante | 0,006 | 0,002 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».