The Innovative Semi-Analytical Screen Survey Tool and Intermittent Screen Review Sampling Method Used Amid COVID-19 Pandemic
Notice bibliographique
Résumé
Hence the social life is changing and social interaction is amplified by technology. Therefore, social research would change its approach/es concomitantly. We are living in the age of technology where many people are interacting through social media generally referred to as a screen. Therefore, it is creating the need for innovative screen research methods to study and give meaning to screen interaction. Due to lock-down and restrictions on physical interaction during the COVID-19 pandemic, the screen interaction is intensified. Particularly the community-based organizations, businesses, and academia were observed prone towards using screen interaction approaches. Similarly an International Non-Governmental Organization hereinafter (INGO) in Erbil, Iraq. Started a Facebook page to interact with its beneficiaries to listen to their urgent needs and feedback to project activities. Based on that monitoring and evaluation unit observed a need to monitor screen interaction between organization and community. Hence, the innovative approaches of screen survey and screen sampling were identified. To conduct an intermittent screen survey it was important to select a relevant sampling method. In general, there are two schools of sampling in social sciences. Probability sampling and non-probability sampling. Under probability sampling, each individual has the right to be selected as a participant in a study. Under non-probability sampling, participants are selected based on certain criteria that are relevant to the domain of study. Both schools of sampling have many types and sub-types selected as per the specifications of a study. Therefore, the Intermittent Screen Review Sampling (ISRS) method was developed based on precedent theoretical work. The screen survey refers to the collection and analysis of responses of viewers of any specific social media page. Where respondents are not asked to participate or share their feelings or thoughts. Respondents voluntarily appear on the screen and interact with any post and reflect their thoughts. Henceforth, the surveyors collect these displayed thoughts intermittently, do some analytical work, and produce meaning out of these emojis, shares, memes, and comments. Quantitative and qualitative analyses were conducted within the context of the post/s shared by authorized person/s on a social media official page. Thereafter, the results were presented in quantities and narrations. This research paper is developed to communicate these innovative approaches of semi-analytical screen survey and intermittent screen review sampling at a wider level. This research would pave a way for further screen studies and innovations that are the needs of our screen generation.
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 | 0,050 | 0,100 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,006 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,004 |
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 ».