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Record W2150666247 · doi:10.1108/09593840410522189

Situating gender: students' perceptions of information work

2004· article· en· W2150666247 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInformation Technology and People · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsWestern University
Fundersnot available
KeywordsAttractivenessPerceptionSet (abstract data type)Work (physics)PsychologyThe InternetSocial psychologyCompensation (psychology)Public sectorPrivate sectorPublic relationsSociologyPolitical scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

Young people entering their first year of university studies were asked to give their impressions of 12 high knowledge and information sector occupations. Their perceptions yield a complex set of expectations that are consistent, in large measure, with experts’ predictions of the information sector's occupational winners and losers. The majority of students aspire to be self‐employed or to work in the private, rather than the public sector. Of the occupations included in the study, the students perceived the occupation “librarian” most negatively in terms of skill, status, compensation and future opportunity, unlike, for example, the similar occupation, “Internet researcher”. The results are discussed in term of the complex interactions of gender, computing, and skill on the attractiveness of difference types of work.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.011
GPT teacher head0.301
Teacher spread0.290 · 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