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Record W2413239549

"What my Guidance Councillor Should Have Told Me": The Importance of Universal Access and Exposure to Executive-Level Advice.

2013· article· en· W2413239549 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Electronic Journal of e-Learning · 2013
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChampionLegislationPublic relationsElitePolitical scienceEquity (law)WorkgroupBusinessPsychologyPoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Often, knowledge and quality education is reserved for the elite, where there are systemic obstacles to gaining access to today’s leaders. Gender and racial inequities in executive-level positions across North America have been a longstanding debate amongst scholars and policy makers. Research has consistently documented that women are disproportionately represented in upper management and in positions of power and still continue to dominate traditionally “female” occupations, such as administrative support and service workers. Though gender inequalities are evidently present, there is also a clear under-representation of visible minorities holding executive-level positions as well. In order to reverse these trends, governments across North-America have enforced employment equity legislation and many organizations have voluntarily committed to similar initiatives. Perceived educational and career-related barriers to opportunity, choice, and information within these segregated groups are shaped early on. For this reason, many researchers champion early interventional programs in order to prevent such perceived barriers from developing. In this paper, there will be a discussion of social networks and how certain groups are denied access to sources of social capital, thus hindering their ability to seek out prospective jobs or entering certain career streams. In this study, Women in the Lead, a database published in 2009, is a national directory of women whose professional expertise and experience recommend them as candidates for positions of senior level responsibility and as members on corporate boards. The Women in the Lead database was comprised entirely of professional women who had voluntarily subscribed as members. Of the 630 women asked to participate, 210 responded to the survey. The 210 women who responded were from 14 different industries in Canada and the United States. The next generation was described as soon to be graduates of high school. A summary of this advice is reported in this paper, with the objective of providing guidance to the next generation looking to enter the workforce, regardless of their gender, location, and race. We also explore the potential of the internet in levelling these barriers and opening up new possibilities for e-mentoring youth and building social capital.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.314
Teacher spread0.274 · 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