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Record W6986683419

A qualitative examination of the impact of social restrictions during COVID-19 pandemic on social relations and social interactions of adolescents aged 12-18 years in Ontario, Canada

2022· dissertation· en· W6986683419 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsSocial isolationSocial relationPandemicInterpersonal relationshipQualitative researchInterpretative phenomenological analysisSocial deprivationGovernment (linguistics)Affect (linguistics)Interpersonal communication
DOInot available

Abstract

fetched live from OpenAlex

Background: The novel coronavirus outbreak (COVID-19) was declared a global pandemic by the World Health Organization (WHO) in March 2020 (WHO, 2020). The government of Ontario declared a stay-at-home order where schools were closed, and remote learning was used as an alternative to in-person learning. Adolescents were affected by these measures in many aspects, including experiencing elongated social isolation, social deprivation and losing in-person interaction with their peers (Orben et al.,2020). Adolescents undergo physiological changes, including changing neurotransmitters such as serotonin and dopamine, which affect the volatility and frequency at which their emotions changes (Bailen et al., 2019). Adolescents also experience change within their interpersonal relationships and interactions, mainly with their peers and parents (Brechwald & Prinstein, 2011). There is a need, therefore, to further research and understand how COVID-19-related stressful experiences such as social isolation could have potentially affected adolescents’ relationships. \nObjectives: This study aimed to examine how school closures, social distancing, and other types of social restrictions applied during the COVID-19 pandemic in Ontario, affected social relationships and social interactions of adolescents aged 12-18. \nMethods: In this qualitative study, Interpretative Phenomenological Analysis (IPA) was used to enable the researcher to examine the lived experiences of adolescents during the pandemic, focusing specifically on the changes in their relationships and social interactions. This goal was achieved through conducting open-ended interviews with 7 adolescents (ages 15-18) who live in Ontario. Participants were recruited through social media, emails and posters. Interviews lasted be-tween 60-90 minutes in length were conducted through Microsoft Teams Video Tool, and the data was recorded and analyzed inductively using IPA. \nResults: A difference between the male and female gender was observed, where male participants were less likely to mention their need for social interactions than female participants. The study also found that for adolescents, friends played a role in coping with the pandemic. Finally, the participants started to overcompensate for social interactions after the pandemic restrictions were relaxed, because of the opportunities they felt they missed out on during isolation. \nConclusion: Throughout the pandemic, adolescents' relationships were affected due to lack of social interactions during lockdowns. This study can be used to guide future policies to have less of a negative impact on adolescents as a further step to prepare for future potential social isolation situations. The findings can also be used as a baseline for future studies to understand the long-term effects adolescents have when exposed to long periods of social isolation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0180.012
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.376
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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