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Record W2888990884 · doi:10.1002/pra2.2017.14505401016

Constructing knowledge and ignorance in the social information worlds of young mothers

2017· article· en· W2888990884 on OpenAlexafffundabout
Devon Greyson, Heather L. O'Brien, Jean Shoveller

Bibliographic record

VenueProceedings of the Association for Information Science and Technology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsInstitute of Population and Public HealthBC Children's HospitalLibrary and Archives CanadaUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsIgnoranceSituational ethicsExperiential knowledgeDiversity (politics)Social worldsSociologySocial psychologyGender studiesPsychologyEpistemologySocial science

Abstract

fetched live from OpenAlex

ABSTRACT The socially constructed information worlds within which individuals live, work and play necessarily shape their information practices. One way in which this occurs is through the social construction of knowledge, expertise and ignorance, including which actors are considered to possess authoritative knowledge through administrative authority or lay expertise. Using Adele Clarke's situational mapping techniques, this paper examines the discursive construction of knowledge and ignorance in the information worlds of young mothers in the Greater Vancouver region of Canada. Data was collected via observations at school‐based Young Parent Programs and interviews with 37 young mothers over a 15‐month time period. Gendered and racialized young parent social worlds discursively constructed the “teen mom” as knowledgeable in matters of sexuality and technology and ignorant in matters of parenting and health. Further, certain forms of experiential expertise common to marginalized groups were sometimes constructed in such information worlds as forms of ignorance. Recognizing the diversity of knowledge and expertise among young mothers rather than perceiving them as unilaterally information poor may lead to improved information and support services for young parents.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.314
Teacher spread0.299 · 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 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

Citations12
Published2017
Admission routes3
Has abstractyes

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