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Record W6947930397 · doi:10.48526/rgu-wt-2935003

Getting the message: a transcendental phenomenology of youth experiences of persuasive (partisan) and informative (non-partisan) campaigns during the 2019 Canadian and United Kingdom general elections

2025· dissertation· en· W6947930397 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingPoliticsPhenomenology (philosophy)General electionTranscendental numberAlienationQualitative researchTurnoutVoting

Abstract

fetched live from OpenAlex

Low youth voter turnout has potentially negative implications for healthy democracies and is therefore a widely researched topic in political communications. The concern is that if young people experience alienation and disenfranchisement from political processes, and in particular, electoral participation, this may result in a future uninformed electorate, where voting is not incorporated as a habitual practice among adults (Plutzer, 2002; Henn and Foard, 2012; Muthoo, 2016). Paradoxically, despite feeling a strong sense of civic duty to vote, youth may lack trust in electoral campaigns within a "fake news" environment. Therefore, this study explored the central research question: "what experiences do youth have of partisan and non-partisan campaigns in electoral situations?" The rationale for researching this question is found within the field of campaign effects research, where myriad factors are explored, in order to understand how these integral facets of electoral politics may be better understood. To that extent, this study utilized a qualitative transcendental phenomenological theoretical framework and methodology more often utilized in health sciences research in order to elicit participant data in regards to how young people experience partisan and non-partisan campaigns, and the associated trustworthiness of each campaign type. This primarily descriptive methodology was applied within a cross-national context, eliciting responses from five Canadian and five British participants, aged 18-24 years during the general elections in each respective country between 2015 and 2019. The resulting data produced a cross-national "essence of the experience" for participants within both countries, where key themes of partisan campaigns feeling "pushy" and manipulative, as well as untrustworthy; were contrasted against non-partisan campaigns being experienced as trustworthy; and the importance of alignment with internal beliefs. Additional emergent themes indicated that despite uncertainty towards partisan campaign trustworthiness, participants experienced a sense of civic duty towards voting, felt that the information often contained in non-partisan campaigns was reassuring and empowering, and expressed a preference for policy-based campaigns. These significant cross-national participant narratives highlight the increasing importance of neutral, unbiased information that is relevant to the youth electorate and maintains professionalism through the avoidance of political opponent shaming and "Americanized" negative campaign tactics. Perhaps most importantly, participants felt a sense of maturity and social belonging, instilled through the empowering experience of informed decision-making at the ballot polls. Therefore, participants expressed a need for more access to trustworthy campaigns and unbiased, policy-based information, in order to facilitate this sense of empowerment. This research therefore makes an original contribution to the political communications scholarly literature through the creation of a novel partisan/non-partisan campaign trustworthiness perception framework, which serves to situate valuable participant narratives of partisan and nonpartisan campaigns as experienced simultaneously, within a single electoral event in relation to the persuasive and informative content perceived therein. Further to this, the study makes a methodological contribution to the qualitative transcendental phenomenological analysis framework, through the explication of participant outputs, in addition to streamlining data analysis, through minor adjustments to the procedural stages.

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)0.005
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 score0.986
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.247
Teacher spread0.230 · 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
Published2025
Admission routes1
Has abstractyes

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