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Record W2943456288 · doi:10.11575/prism/36454

"We're tryna improve our life everyday": Digital literacy in policy and practice

2019· dissertation· en· W2943456288 on OpenAlexfundaboutno aff
Monica Jean Henderson

Bibliographic record

VenueOpen MIND · 2019
Typedissertation
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsnot available
FundersGovernment of AlbertaUniversity of Calgary
KeywordsEveryday lifeLiteracyPedagogyPolitical scienceSociologyPsychology

Abstract

fetched live from OpenAlex

In this study, drawing on a Foucauldian framework, I explore how through processes of governmentality, neoliberal discourse is taken up in both policy (governance) and adult learner subjectivity (self-governance) pertaining to digital skills. To do this, I conducted critical discourse analysis (CDA) of Alberta’s Living Literacy policy framework, then used ethnographic methods to observe a basic digital literacy classroom and conduct interviews with adult learners. My findings indicate that literacy is a useful area for investigating how neoliberalism and entrepreneurial subjectivity are (re)produced in policy and social practice. This is done through individualizing and responsibilizing discourse at both policy and individual levels. However, I also identify how, despite the strong neoliberal tendencies of the policy, adult learners understand literacy as extending beyond the economic. For them, literacy is also a practice of community, representation, and health. Using these findings, I argue that literacy is a practice for improving one’s life – though not solely through economic means, despite the policy’s attempt to quantify and invest in literacy as an economic project toward innovation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0080.012
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.023
GPT teacher head0.376
Teacher spread0.353 · 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 teacher head, not a consensus.

Study designOther design
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
Published2019
Admission routes2
Has abstractyes

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