Bibliographic record
Abstract
Talent & Technology One of the growing issues facing companies is managing employees who are part of a dual career couple. Traditionally, corporate policies were based on the assumption that even if one spouse worked, that person’s income would make up a relatively small fraction of the total household income. The spouse was assumed to be available to handle numerous house-hold responsibilities so the employee could focus on work. Much of the workforce is now juggling more complex personal logistics because both spouses are employed outside the home. One of the objectives of the SPE Talent Council is conducting surveys and statistical analysis to highlight potential capability/expertise gaps and to identify possible solutions. To obtain information on the prevalence of dual career couples and the challenges facing them, SPE emailed a survey in May to 46,777 professional members, of which 5,570 responded. The results showed that dual career couples make up about half the workforce. Dual career couples will probably form a larger proportion in the near future, because those in such relationships are younger than those who are not. This article is a summary of the survey results, which are available in SPE-151971-MS at www.onepetro.org. The largest number of survey responses, with similar percentages, came from the United States, Canada, and the United Kingdom, where SPE has the largest number of members. Members in 93 countries responded. Of the total number of responses, 47% reported they were part of a dual career couple, 11% said they were previously part of a dual career couple, and 42% considered themselves to be single career. We also examined the results for two other groups. The first group was those in which the respondent said he or she is contributing between 33% and 67% of the household income, so that each partner is contributing at least a third. The second group was made up of those who reported contributing between 40% and 60% of household income. Of those who identified themselves as “dual career,” 47% said the lower-paid partner provides at least a third of the household income and 37% said that each partner provides nearly equal portions of the household income. Of all the survey responses, 22% came from couples where the minimum income contribution is a third and 17% came from those where the contribution is nearly equal. The days when the spouse’s salary could be viewed as providing an insignificant fraction of the household income that could easily be covered by a relocation bonus are gone.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".