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Record W2340127958 · doi:10.15200/winn.146161.19055

Families and Work: Making it Work. Full Transcript of Directed Discussion on Family and Work Balance at Pacifichem Conference 2015, Honolulu, HI, USA

2016· dataset· en· W2340127958 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

VenueThe Winnower · 2016
Typedataset
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWork (physics)DemographicsBalance (ability)Public relationsLibrary scienceSociologyGender balancePolitical sciencePsychologyEngineeringComputer scienceGender studies

Abstract

fetched live from OpenAlex

The following document is the approximate transcript for a directed discussion on the topic of work and family balance. The audience contained mostly professionals in chemistry (academia and industry) but also science educators and magazine editors. The discussion was held at the Pacifichem Conference, 2015, in Honolulu, Hawai’i, USA. The discussion was preceded by a 7 minute slideshow aimed at describing the genesis of the discussion and the aims of the discussion. The transcript represents important information from approximately 10 participants on trends relating to family demographics amongst scientists and how institutions are interacting with the changing demograpics of their employees. The names of paricipants and institutions have been removed. The names of countries and states are revealed in this transcript. It is our hope that this transcipt motivates communicating more anecdotal evidence in this area and gives rise to intense discussion concerning the topic(s).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.655
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.036
GPT teacher head0.293
Teacher spread0.257 · 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