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Record W1989722209 · doi:10.1177/1715163513481323

Women in pharmacy

2013· article· en· W1989722209 on OpenAlexaffvenueabout
Donica Janzen, Kerry M. Fitzpatrick, Karen Jensen, Linda G. Suveges

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPharmacyMedicinePharmacy practiceMedical educationPharmaconomistFamily medicineNursingPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Women have historically been attracted to pharmacy because it is widely perceived as a profession that offers them an opportunity to combine a professional career with a family. Women now make up the majority of practising pharmacists in Canada, yet the literature demonstrates disparities such as gender segregation and underrepresentation of women in senior positions. This study was intended to identify the attitudes and beliefs of pharmacy students about women's issues in pharmacy and raise awareness of these issues. METHODS: First- and fourth-year University of Saskatchewan pharmacy students were invited to share their overall impressions of the status of female pharmacists and the impact of women on the pharmacy profession through an online questionnaire. RESULTS: Of the 60 respondents, the majority disagreed that there is segregation of men and women in pharmacy. More fourth-year students than first-year students recognized the underrepresentation of women in pharmacy management. Many students believed the number of women in pharmacy would have no negative impact on the profession. Forty students (67.8%) agreed that it is important to maintain a significant proportion of men in pharmacy. CONCLUSION: Most pharmacy students in this study do not recognize gender disparities present in pharmacy or the impact the disproportionate number of women could have on the profession. Can Pharm J 2013;146:109-116.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.000

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 head0.044
GPT teacher head0.281
Teacher spread0.237 · 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 designNot applicable
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

Citations39
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Pharmacists Journal / Revue des Pharmaciens du CanadaSame topicDiversity and Career in MedicineFrench-language works237,207